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    "# Writing Computational Essays Based On Simulation Models\n",
    "\n",
    "## How to use Jupyter and Python to rapidly build interactive stories based on System Dynamics simulations\n",
    "\n",
    "**If you want to use the insights gained from simulation models to transform your enterprise, just having the model and the insights alone are often not enough – you need to develop a good story that persuades your stakeholders to make decisions and take action.**\n",
    "\n",
    "**Our BPTK_PY library allows you to convert System Dynamics models into Python code and run them in the powerful Jupyter notebook environment, which is a wonderful place for writing interactive, data-driven papers and reports.**\n",
    "\n",
    "In our post [Telling Stories with System Dynamics Models](https://www.transentis.com/telling-stories-with-system-dynamics-models/) we introduced our approach to telling interactive stories based on simulation models built using System Dynamics.\n",
    "\n",
    "Writing such interactive stories is quite challenging, even if your simulation model is already fairly complete, because you need to craft the storyline while testing different scenarios with the simulation model.\n",
    "\n",
    "We realised early on that what we needed a \"interactive writing environment\" that would help us to prototype a complex story line while still building the model:\n",
    "\n",
    "* Build an initial simulation model using a visual modeling tool.\n",
    "* Start writing a story around the model using the interactive writing environment.\n",
    "* Use the new questions and insights that arise during the writing process to drive experiments with the simulation model – this may lead to changes in both the model and the storyline.\n",
    "\n",
    "In 2014 we started writing such \"computational essays\" using [Wolfram Research'](http://www.wolfram.com) Mathematica®. \n",
    "\n",
    "Mathematica is a wonderful and very powerful tool to support this process – it is a complete environment that supports writing, computation, presentation and very sophisticated interactive dashboards.\n",
    "\n",
    "Mathematica does not contain native support for System Dynamics, but we crafted a small library that allows us to import System Dynamics models based on the XMILE standard and to run them in Mathematica (see this [blog post](https://www.transentis.com/building-interactive-stories-from-simulation-models/) for details on that).\n",
    "\n",
    "But since 2014 a lot has happened in the world of computational modelling ... Python has become the premiere programming language for data science and its use has thus become even more ubiquitous, and with it the [Jupyter](http://www.jupyter.org) notebook environment (using the IPython kernel).\n",
    "\n",
    "Both Mathematica and Jupyter are fantastic environments for creating computational essays and \"story-driven simulations\":\n",
    "\n",
    "* Working with Mathematica and the Wolfram Language is incredibly productive thanks to the symbolic nature of the language and the way it integrates into the highly sophisticated Mathematica notebook environment.\n",
    "* Currently Jupyter notebooks still lack the sophistication of Mathematica notebooks. But what sets the Jupyter/IPython ecosystem appart is that it is open source (and thus free to use for everyone), highly extensible and very widely used in the data science/computational modeling community - it is thus much easier to find books, training materials and skilled resources.\n",
    "\n",
    ">For a more in-depth comparison of Jupyter and Mathematica see Paul Romer's very interesting [blog post](https://paulromer.net/jupyter-mathematica-and-the-future-of-the-research-paper/) on this topic. Also be sure to read the [Atlantic Article](https://www.theatlantic.com/science/archive/2018/04/the-scientific-paper-is-obsolete/556676/) referenced by Paul Romer.\n",
    "\n",
    "Because Jupyter and Python are free to use, we decided to port our Business Prototyping Toolkit to the Jupyer/Python universe  and also provide it free of charge - which means you can now create simulation models using System Dynamics and let them run in Python.\n",
    "\n",
    "Our approach is very powerful and liberating, because it turns our models into computable objects – we can now use our simulation models in new ways, quite independently of the modeling environment in which we create the model.\n",
    "\n",
    "Some \"everyday\" examples of such uses are:\n",
    "\n",
    "* Writing up a report (or paper) based on a System Dynamics model using Jupyter and plotting all related graphs directly in Jupyter. \n",
    "* Creating and managing a comprehensive set of scenarios pertaining to that model.\n",
    "* Creating an interactive dashboard for a model.\n",
    "* Sharing models, dashboards and reports with people who do not have access to the original model environment.\n",
    "* Comparing multiple versions of a model to each other.\n",
    "\n",
    "We provide examples for all these points later in this document.\n",
    "\n",
    "More advanced examples for using models as computable objects are:\n",
    "\n",
    "* creating interactive games (see our version of the [Beergame](https://www.transentis.com/understanding-the-beer-game) and the computational essay that goes with it. We built the model underlying the game using System Dynamics and transpiled the model into Javascript using our Javascript transpiler),\n",
    "* performing monte-carlo sensitivity analysis of a model on multiple machines in parallel, using state-of-the art, scalable parallel processing engines such as [Apache Spark](http://spark.apache.org)\n",
    "* training machine learning algorithms using System Dynamics models.\n",
    "* combining system dynamics models with other computational model techniques, such as agent based modeling.\n",
    "\n",
    "\n",
    "We are providing the BPTK PY framework as a closed source framework under the [MIT license](https://en.wikipedia.org/wiki/MIT_License), which means you are free to use the framework in your own modeling projects. You can download the Jupyter Notebook and System Dynamics model corresponding to this blog post along with installation instructions and a more detailed tutorial in our [member area](https://www.transentis.com/member-area/) - please sign up to the member area first if you do not have an account yet.\n",
    "\n",
    "To demonstrate our computational essay approach using our BPTK PY framework we will use a very simple System Dynamics model. The System Dynamics model itself was built using the dynamic modeling and simulation software Stella® from [iseesystems](http://www.iseesystems.com).\n",
    "\n",
    "Stella saves models using the [XMILE format](https://www.oasis-open.org/committees/tc_home.php?wg_abbrev=xmile), which is an open XML protocol for sharing interoperable system dynamics models and simulations. The XMILE standard is governed by the OASIS standards consortium - our framework currently only supports XMILE, we may create a compiler for other formats (such as Vensim® by [Ventana Systems](http://www.vensim.com)) in the future ([send us an email](mailto:support@transentis.com) if you are interested in this).\n",
    "\n",
    "To illustrate how our framework works, this post uses the model from our [Step-By-Step Introduction To System Dynamics](https://www.transentis.com/step-by-step-tutorials/introduction-to-system-dynamics/).\n",
    "\n",
    "We've included the stock and flow diagram of the entire model below â€“ you don't need to understand how the model works to follow this post, but knowing the stock and flow structure will be useful.\n",
    "\n",
    "![Simple Project Management Model](simple_project_diagram.png)\n",
    "\n",
    "The following sections illustrated various aspects of our framework and of how to use it.\n",
    "\n",
    "* [Importing the BPTK_Py Framework](#Importing-The-Framework)\n",
    "* [Setting up Scenarios and Scenario Managers](#Setting-up-Scenarios-and-Scenario-Managers)\n",
    "* [Plotting Scenario Results](#Plotting-Scenario-Results)\n",
    "* [Creating Interactive Simulation Dashboards](#Creating-Interactive-Simulation-Dashboards)\n",
    "* [Accessing The Underlying System Dynamics Model](#Accessing-the-Underlying-System-Dynamics-Model)\n",
    "* [Accessing Model Information](#Accessing-Model-Information)\n",
    "* [Checking and Comparing Models](#Checking-and-Comparing-Models)\n",
    "\n",
    "### Importing The Framework\n",
    "\n",
    "The Business Prototyping Toolkit for Python comes with a model transpiler, which automatically converts SD-models created with [Stella](http://www.iseesystems.com) into Python Code, a model simulator which let's you run those models in a Python environment (such as a Jupyter notebook), a simple format for defining scenarios, and some methods to plot simulation results - these methods form the BPTK API.\n",
    "\n",
    "For most users, this will be enough initialy: you create the model using Stella and experiment with it by defining scenarios and plotting graphs in Jupyter notebooks. Whenever you change the model in Stella, the model is automatically transpiled to Python in a background process. Hence you can work on your model (in Stella) and write your computational essay (in Jupyter) in parallel.\n",
    "\n",
    "You only need very limited Python skills to do this – the following sections show all the code that is needed to get up and running, our downloadable tutorial provides detailed installation instructions. we have found that even modelers who are new to Jupyter and Python can get productive with our toolkit within a few hours.\n",
    "\n",
    "More advanced users can use the full power of Jupyter and Python to access and manipulate the underlying simulation model and simulation results.\n",
    "\n",
    ">For those of you that are new to Jupyter: Please run the code cells by pushing ``Shift + Enter``. The next code cell imports the BPTK_Py package and initializes it. This may take some time during the first run, because some necessary libraries will be downloaded from the [NPM repository](http://www.npmjs.org). "
   ]
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   "execution_count": 1,
   "metadata": {
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   },
   "outputs": [],
   "source": [
    "## BPTK Package\n",
    "from BPTK_Py.bptk import bptk \n",
    "\n",
    "bptk = bptk()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setting up Scenarios and Scenario Managers"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Scenarios are just particular settings for the constants and graphical functions in your model and scenario managers are a simple way of grouping scenarios.\n",
    "\n",
    "You can create scenarios directly in Python, but the easiest way to maintain them is to keep them in separate files – you can define as many scenario managers and scenarios in a file as you would like and use as many files as you would like. Each scenario manager references the model it pertains to. So you can run multiple simulation models in one notebook.\n",
    "\n",
    "All the scenario definition files are kept in the ``scenarios/`` folder. The BPTK_Py framework will automatically scan this folder and load the scenarios – including the underlying simulation models – into memory.\n",
    "\n",
    "The following code lists all available scenario managers and scenarios:"
   ]
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  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Available Scenario Managers and Scenarios:\n",
      "\n",
      "*** smSimpleProjectManagement ***\n",
      "\t base\n",
      "\t scenario100\n",
      "\t scenario80\n",
      "\t scenario120\n",
      "\t scenario100WithPoints\n",
      "\n",
      "*** smInteractive ***\n",
      "\t scenario100\n",
      "\n",
      "*** smSimpleProjectManagementV0 ***\n",
      "\t base\n",
      "\t scenario100\n",
      "\t scenario80\n",
      "\t scenario120\n"
     ]
    }
   ],
   "source": [
    "print(\"Available Scenario Managers and Scenarios:\")\n",
    "\n",
    "managers = bptk.scenario_manager_factory.get_scenario_managers(scenario_managers_to_filter=[])\n",
    "\n",
    "for key, manager in managers.items():\n",
    "     print(\"\")\n",
    "     print(\"*** {} ***\".format(key))\n",
    "\n",
    "     for name in manager.get_scenario_names():\n",
    "         print(\"\\t {}\".format(name))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As the filename suggests, scenarios are defined using the [JSON format](http://www.json.org):\n",
    "```\n",
    "\"smSimpleProjectManagement\":{\n",
    "    \"source\":\"simulation_models/sd_simple_project.itmx\",\n",
    "    \"model\":\"simulation_models/sd_simple_project\",\n",
    "    \"scenarios\":{\n",
    "      \"scenario100\":{\n",
    "        \"constants\": {\n",
    "          \"deadline\": 100,\n",
    "          \"effortPerTask\": 1,\n",
    "          \"initialOpenTasks\": 100,\n",
    "          \"initialStaff\": 1\n",
    "        }\n",
    "      }\n",
    "    }\n",
    "  }\n",
    "  ```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The outer bracket  defines the scenario manager. Next to containing a number of scenarios, the scenario manager also defines which model the scenarios apply to (the `source` field and also the `model` file which contains the model's transpiled Python code.\n",
    "\n",
    "Each scenario gets a name (`scenario100` in this example) and a list of constants which define the scenario settings.\n",
    "\n",
    "We can also take a look at how the scenario is stored in our Python Scenario Manager:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'constants': {'initialOpenTasks': 100,\n",
       "  'deadline': 100,\n",
       "  'effortPerTask': 1,\n",
       "  'initialStaff': 1},\n",
       " 'points': {'productivity': [[0, 0.4],\n",
       "   [0.25, 0.444],\n",
       "   [0.5, 0.506],\n",
       "   [0.75, 0.594],\n",
       "   [1, 1],\n",
       "   [1.25, 1.119],\n",
       "   [1.5, 1.1625],\n",
       "   [1.75, 1.2125],\n",
       "   [2, 1.2375],\n",
       "   [2.25, 1.245],\n",
       "   [2.5, 1.25]]}}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"scenario100\").dictionary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The only difference in `scenario80` is that we have set the number of initial open tasks to 80 instead of 100."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'constants': {'initialOpenTasks': 80,\n",
       "  'deadline': 100,\n",
       "  'effortPerTask': 1,\n",
       "  'initialStaff': 1},\n",
       " 'points': {'productivity': [[0, 0.4],\n",
       "   [0.25, 0.444],\n",
       "   [0.5, 0.506],\n",
       "   [0.75, 0.594],\n",
       "   [1, 1],\n",
       "   [1.25, 1.119],\n",
       "   [1.5, 1.1625],\n",
       "   [1.75, 1.2125],\n",
       "   [2, 1.2375],\n",
       "   [2.25, 1.245],\n",
       "   [2.5, 1.25]]}}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"scenario80\").dictionary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting Scenario Results\n",
    "#### Example 1: Multiple Equations for one scenario\n",
    "Let's assume that we would like to plot multiple equations for the same scenario.\n",
    "\n",
    "All plotting is done using the ``bptk.plot_cenarios`` method. We just need to pass the name of the scenario ('scenario100') and the list of equations ('openTasks' and 'closedTasks')."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bptk.plot_scenarios(\n",
    "    scenario_managers=[\"smSimpleProjectManagement\"],\n",
    "    scenarios=[\"scenario100\"], \n",
    "    equations=['openTasks','closedTasks'],\n",
    "    title=\"Tasks remaining vs. Tasks closed\",\n",
    "    freq=\"D\",\n",
    "    start_date=\"1/1/2018\",\n",
    "    x_label=\"Time\",\n",
    "    y_label=\"Tasks\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see we can easly change the name of the diagram, the axes labels and the time scale. A legend showing the names of the plotted equations is displayed automatically. The colors for the plots are set in a configuration file - you can learn more about how to do this in the advanced documentation contained in our tutorial."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Renaming the series\n",
    "The equation names (such as `openTasks`) are often not the kind of names you want to show to the reader – in this case for instance we would much rather use the phrase `Open Tasks`.\n",
    "\n",
    "Fortunately we can use the ``series_name`` parameter to rename them. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bptk.plot_scenarios(\n",
    "    scenario_managers=[\"smSimpleProjectManagement\"],\n",
    "    scenarios=[\"scenario100\"], \n",
    "    equations=['openTasks','closedTasks'],\n",
    "    title=\"Renaming Equations\",\n",
    "     freq=\"D\",\n",
    "    start_date=\"1/1/2018\",\n",
    "    x_label=\"Time\",\n",
    "    y_label=\"Tasks\",\n",
    "    series_names={\"openTasks\" : \"Open Tasks\",\"closedTasks\" : \"Closed Tasks\"}\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example 2: Plot one equation for multiple scenarios\n",
    "Now let us change the perspective. In the above example we assumed one scenario for which we simulate multiple equations. Now we simulate **one equation for multiple scenarios**. This is useful whenever we want to compare the behaviour of the same model element between different scenarios.\n",
    "\n",
    "To achieve this, we supply just one equation and a list of scenarios to the `plot_scenarios` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bptk.plot_scenarios(\n",
    "    scenario_managers=[\"smSimpleProjectManagement\"],\n",
    "    scenarios=[\"scenario80\",\"scenario100\",\"scenario120\"],\n",
    "    equations=[\"openTasks\"],\n",
    "    title=\"One Equation for Multiple Scenarios\",\n",
    "     freq=\"D\",\n",
    "    start_date=\"1/1/2018\",\n",
    "    x_label=\"Time\",\n",
    "    y_label=\"Tasks\",\n",
    "    series_names={\n",
    "        \"smSimpleProjectManagement_scenario80_openTasks\":\"80 initial open tasks\",\n",
    "        \"smSimpleProjectManagement_scenario100_openTasks\":\"100 initial open tasks\",\n",
    "        \"smSimpleProjectManagement_scenario120_openTasks\":\"120 initial open tasks\"\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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L8MO9qw7iZ8hXU9rYOhUltPpFShXtre1w9B+JiE+ddrg7paK688/AN2Rm7nRwJye3BV+Jj1NNCYXWdjmm/3X9sIiYOI4mMy/mzm2Q455EqbQD+PCIuPuU9/vjzHzalMdOo7+5yD8DT9jpwMx8J9s/pu9PqX4d12/3fPGE2yc9dj3NcZKOJ4MvScfNDb3Lt17mY92yy2Pv5BenOKb/S9oH7HDMl/Uu//QUjwllaOyF9vJHRMRVU97vSrqJ7XNWfm7yYdv87KGs5PD8be/yR1zpJ4+ID6AMQO78rynu9qtsfb0EpTVkL7+Se8y8Y7rP9am14cDLeld9fP/2sfleL24D4X9p3/7YdpZP3029y0cesAL/mpm7riPLnK239a667I/rHn6td/krxm77ih2O06X+JCfMSOvLzJcDf9276lH7eaKIqIAv7l31UzsdO+Y3e5c/fsejppSZrwQ+Cvi/OxxyNfBxlAD9T4G3RsT/r/06nqgNevsB7I/sFCbu5Qp+nJ6fe8/dfAlb8yxPUaomL0sbBv5976ppfx49+XKfuxNlB9pP6l31c3sFUJn5XErla2dSANwPER+8/xVKOikcbi/puFntXV6/zMcav/+piUdt2WD7i/Kd9AeeX7Jtd0TcQGmn6Lxg/JhJMnMjIl5LeeE/oPwyeJBbyL+UsuPVtCYNhO7/4v2vbYXUXp5HqYIYDy2uuDY4eQSlUugDKCHeVWxfWz8gPbRqnF08rHf5ImXA/a4ycy0ing983oTH2Mk0n1u7fq7v083AR7aXP57tgcvHsvVHvZt75x9EGYL8wZSKg07/RevNHL1pv17/k9LeDAf3cd3JH1Bau64BPj8ivjEzL0bEAPiS9pgN4LcPeR2L7k+nPO65lDlOsDV4f1YfwtZGCLdm5jQ/l8jM/4yIWyjf1+4WEffIzLfucw3dY/5LRHwoJcT7Skr1zsoOh9+JUs31FRHxqMz82wnH9EOvEWV21H5dqY/Tnl/X7dfUeyiD6GGKr+uIuJbS/v0QymD4a9n+OxBsHyY/7c+jqSqopvRhbG0uAKXVdRrPoVR7weSfRy8DPqG9/LSI+KrMfNH+lijpJDD4knTc3MLWL47XXuZjjd//7B7Hv2eKChjYqsqCMnh33IPYvoPgb19aqLKj+/Qu33nHo/bnOzLz5st8jPv3Lr9ymjtk2c3vTZRWqyMTEV9CaXG5z17H9uxYuXCI+h/jV0/5OQml9agLvu6/24Gtt09xzF6f6/txM1utTjeN3dZ/uwv8bmar1eYm2uArIlbZCtC6447aNB9TOJyP60SZeSEinkHZZfBaSvXFb1F2nuzCtz/JzPFd/LTdVN/vxo677zS7CU/QDzuWImLa0A22/4HnzpTB4ZelrTx6JvDMiDhFCTIeBvwX4OGUXUr77k7ZtfRhE9qP+xWOr8rMi5extCv1cTrQr+u2Iu6HKV+Tp3c6boJpfh7dsker9az6P0veO0OQ+oodHqPzJLaCr/sBL4yI11MC5r+iVPwexG6sko4Jgy9Jx81ZtgKfO17mY43ff69fBjf28RyTEq3+81aUv+jux1GELnvp/xV7lhfK7+EIg6+IeBLwP/Zx1/G/vl8Jd+hdnuVj/O7e5WmqiPbz+X4QXkyZl7RMmXF1317l4E3t+e2UQeFQWhi7isGbKLuBQQm9uhev8zLf66C+hxy0X6O8yAb4ckrwZZvjbKb9Whw/7roZ7tvp/wy5ijn6GdLOuXohvdbitj37scDXs/U981pKm/v4fKd+Re07L3M5V+rjdGBf1xFxN0pIP80cxnHT/Dy6fR+Pu5s79C7v9+fRNREx6LdIZuazI+I7KDv9dlW+96PMB/sGgIh4DWUExC9l5ptmX7qk48QZX5KOm/4cjQ+aMNNnFh889vZeMzoOykHN5prH7/H9X7xneTFwuW2r+xYRX8j20OvVwLdRZte8D+X/q8rMyMzgAGbjXKb9foz7xx5FYDeVCXO+boKJ871G7fHvZquK5uN63xP6/0/zMN9rnv0V0IWLnxQRH8jWxg3vZvr2pZNs2q/F8e91+/laXKifIZn56sz8Fkqrcn8A/SdFxPuOHX6Q4wwW6uPU+hW2Qq8G+D3gSym/r9xA2Tkyej+PZg2lpx2cP62D+Hk0/jgAZOaPU9pV+zMq+x4IfDfw2oj44bY9W9IJNY8viiTpcvRnU1zL5Q1+Hh8E+9cTjzp4/V/g1vu/xM54euoVWu8s+jt8XTPD/WY5dhbT/CLc37nwj4AHZ+ZPZuZLMvOtmXlhbEexw1rrtPqfP/v9GN9yMEs5NDf3LncBVn++1/hcs+74GygvlGB7W2T/8TSm/fz+9fbNAfA7bFXLPX2/w8X3aVFfvE77tTh+3G0Tj9pd/3vAv17Gz5Cb9/Hc+9buevxjY1d/9Njbt/Qu3+Eyn3KhPk4R8WDgkb2rvigzvyAzn5aZr8zMs5k5HgYeh59Hw8y8MOmgzPyXzPwqSvXew4DvoMwH6weoy5QA7CdmeH5Jx4zBl6TjZrxy44v28yDtbk+P7l31ussd8juDd/Qur7YDbI+L/vs2VetiW6Fz4xSH9v9CvLzjUdvdYY/nvgtbVUQA/+8UL/Lvucfth+1dvcvj1RK7ud8OjzGPbu5dvmnsHHYOvgBuaucMzdt8r3n365SWUSibBXQup83xwL9m59i0rdr9r9kLmXluxyN31v8+e5d93P8oPXfs7buPvd2flzXNLMLdLNrH6VN6l1+Ymb87xX3m6efRPdrZitOY6edRZtaZ+feZ+eOZ+ZmUjRK+CHhT77Bviogbp3x+SceMwZek4+avgf6snq+KiP0Mf/5Mtg8x/6XLWtVs/i9lN77Ow6/gcx+2f+xdfkhETPNi94FMt1FBfzbJDTsetd14O+u4/tDld085J+SjpnzufkvJQc5pennv8j0jYtqdvPo7Z718x6Pmw19T5nwB3Csi7sdW8HUr2z/PYGvOF5QKsYez1TpzUPO9Duv/cy5k5hu4dLe3V027E94ODuNrdhZX8v9svIJ4muPGP4+n1d8N8fqI2M88qKMyPmNq/A8N/fftrpf5vi3ax+nevcsv3evg9nefBx/ecqbS/1myRNnlcRqX9fMoM9cz8+mUuW3d59AA+MRZH0vS8WDwJelYaVtyfrp31T2AJ8zyGO0vi0/qXXUOePJlL25KmbnB9oqVr7xSz30F/FXv8rVsb9vYybRVe2/uXd7zxXFEPIS9d2ictgqle8zrKLveTeN87/IsO3Pt5e/YXknzxXvdISIeSNlhrTPX28K3c776L/w+h63KvL/qD0Fuj38PW7uEfSxbu4HBwc33Oqz/z3kyXt316xOPml7/a/b+e/2Roq3APMg/BFzJ/7MvaCuJd9RWw/S/f/zVTsfuJjP/A3hV76pF+hnygLG3xyutX8r2HZb/236faAE/TjP9PKJ87z/SeY2Z+W/A23pXTfPz6Hrgv/au2vfPo8x8Ldv/j++638eStNgMviQdR7/K9hfF3xIRXz7NHdsKpN9he2vdd2bmLQe2uun0w7sviIhpAqK511bW/F3vqidExI47DEfEXZl+N8V+dcT7RMT4bJhxPzzFY/Z/Yb/TFBUBT2T6gckH2bKzKTNvoww87nxHROy1w2l/rs67gGcd1HoO0c29y9/GzvO9xo+/HviaHR7ncvT/P+/UhqDHSmY+ZWy20RMv8yFfDay1l5eAR+1x/OOBlct8zr4r+X92P7Z2xtzJt7C1KzHAUy/j+fo/Q76pDfqvmIh4aEQ8aB93/cbe5WTs67NtNf/F/vER8aH7eJ7OkX6cZtT/ebTrz7c2PJrpj36H6Fd7l786IsbDzXFPYGuG4AZjAfs+Ni3qzwvba3duSceUwZekY6f9xfiL2GqZqIBfjYgfamf7TBQR9wf+DPiM3tXPysz/fWiL3UFmPp+tndIq4BkR8SV73S8i7h4Rj4uInz3UBV6eH+ldfjDwlIi45MVsRNxACWCmmnHW/vW+33b1MxFx9YTHHUTETwOfPsVjvpntM0J+btKMkoioIuL7ma36oN++8SntTnkH5YlstXfcCXh2+/Hcpl33EymtvZ0fnzAgeR7d3Lt8tx2uv5zjZ5KZbwHe2b4ZTB/Ynljt9+rn9K764YgYn+kEQER8K/D1B/z8V/r/7Gci4hMm3RARnwP8YO+q38/Mf72M5/o1tv4YcAb4s4j4lF2O79Zxv4j4yYj4nst4boCHAv8cEb8TEZ84RbXbVRHxZLbPsXpWZr59wuE/xVZouQw8b68/dETER0XEZ0y46ag/TrO4uXf5IyNiYpDa/sHoT7l0PtpR+Tm2NiVYBZ4TEfeedGBEfCPbw89fzsx3jB12n4h4cUR81m5/OGsf7xvYPjfPHXylE2rXbxaStKgy8/UR8cmUF1V3ooRH30OZ+fV7wEsofz09RZmb8cj21A81/oR9Dsc/IF9GmUHyAEoV0W9GxLcDzwT+idLucZry/j2Y8hfgh1Pe1985hPX8WETM+tfS/97OBtqUmc+KiGcAX9Be9eXAf2lf9LyS8kLmYZQXuXcDXkfZ2eyhUzzfj7P1vn8o8E8R8b8obW7LlB39vhJ4EOWF0yuAT97jMZ/EVuvrJwH/GBE/3651CfhA4DHt80GZB/e1U6z1BZQX3Xeh/P/+c0T8Y7uuzVa9zPycKR5rm8z854h4PFtVbQ8HXhURv0j5nFoD3h/4arbPXHkx5UXlIujmfPXbf26hfG1M0s356lcLHNR8r85vAf9ve/kHIuKr2V7VBPAzmfkXB/ici+4ngc+j/L/cm/L19dNshdjvT/le+JGU1sTnsXdl2Cyu1P/Z71A2TPnziHgaJdR/JyWc+Dy2vh9C+d7+zZfzZJk5jIhHAX9PqSK7MyUgenH73P9C+b56FaX96yGUOXnd97HLreaD8rPoC9vTWyLiLykVv/9OeR+XgPehfL//QrYPmH8XW/8v4+/bu9o/BP0p5ev/zsBfRcSftO/bG4D19vEeCnwW5Xv+D7A9aJ2Xj9O0XkQJ6brnfkob0j2T8vvMDZRW7q8BrgPeQpkZuucfeQ5TZr6tDbR+s73q/YBXtj/zb6b8kfK+wJeyfQbXv1F2aZzkEZRdlt/T/r+/lPL/fivl97j3o3yf6P98//3MfPVBvE+SFo/Bl6RjKzP/LiIeQfmLbreD292Bb2pPOxkBPwt8R2aODneVO8vMs+36n8HW4O4Hc3TDaj98H/fZqVrrKygvSj6ufftBwP+acNx7KS+IfnrCbZfIzN+NiM+k/AINpb3oZyYcepYyS+frpnjYn6NUIXQvHj6A8vkxyY9SXpjvGXxl5kb7IvsZlAB2wPSDf/eUmT8SEVdRtnGH8qLtcbvc5cXAZ4zPx5pXmXkhIl7K9s0EXpiZzQ7HvzciXkEJPzePP+BlPZ4Sjna7Ht6b7QOpAf7wgJ9zoWXm30bEj1D+MAHl8/RHJxy6BnwJ5UX/QQZfj+fK/J99LyWY+GRKkPdlOxx3O/BpbTXaZcnMN0XEwyjr7z7vP5o92uQOyPj3kfehfF/+0gnHjvs34HN320wkM/+iHQHwTErIA+V79MwhzxF/nKaWmdkGfn9NadmGEqY+esLhZ4HPZ7qfcYcuM58WEdcA/5sSiF4DfGt7muTVwCe38xx3c0d2/3rqvITyhx5JJ5StjpKOtcx8bWY+nPKL4V9x6S/jfWeB3wAelJn/8yhDr05mvpvyF9AvYu8dvkaUX4i/hd2DvSOXmRcpYdITKJsHXHII8Hzgv2TmrDubPQb4fuDCDo/758BDM/NvJ9w+aa01ZXj6j7F9t82+1wFfkJnfNctCM/M5lCDzSZTWx1vY/XN0Jpn5PZQX9bvtvPd2SmXFJ2TmrQf13FfI+Dyvmw/4+Jm0H7+PoHz9/TmlCmNt1zuJzPxe4L+zfWh5398DD8/MPzqE575S/2cjSlXxj1AqiCZ5HvCQzPz7g3rSzHwj5Y8WX08JlHazRvkYfC3TzUDc7Xl/lfJx/f9RqnGm+Xn6z8D/BD44M/9liud4AWXX3//D5J8jnfOUirtn7vJYR/JxmlVbsfQwdg7ta8qYhIdM+zPuSsnMX6B8TryArV12x91Cafn98F3C33dQKsFexPaNXCZ5MyVc+7gjmNUqaY5E2QBNkk6GduDrwymVX3emtEO8E3gj8HfzXu3Szr/5KEoL4B0o638P8FrgnzNzfCv4udfu5PZJlDkcy5T2jJe0L0S6Y25mqzrsKzPzqVM87jWU3fv6j/s3/cfdx1qvBz6e0pYxoIRGr8rM3YKluRAR96G0h9yNMiD8XZRWz5emvwxoDrTz826itDeeoezo9w/ThCDzKCL6X1f37SqY2u95n0DZVfYayvv5ot0qnA5wTfelBCd3oVTkXqB8L/hXys+QQwlq2+rTD6S0oN0FuJoSWtxGCSf+KTPftvMj7Pn4K5Tvb/entP83wLuB1wAvm3Vu4VF9nGbR7sb7CMoaz1M+j168w1y0udLOIftYys7bZyj/V/9K+Rk99R8d2+8ZD6Z8Xt21fayLlN/r/gl4pT/fJIHBlyRpAewn+JKko7RT8CVJkq4sWx0lSZIkSZJ0LBl8SZIkSZIk6Vgy+JIkSZIkSdKxZPAlSZIkSZKkY8ngS5IkSZIkSceSuzrO6E53ulPeeOONR70MSZIkSZKkY+Mf/uEf3p2Zdz7ox1066Ac87m688UZe9rKXHfUyJEmSJEmSjo2IePNhPK6tjpIkSZIkSTqWDL4kSZIkSZJ0LBl8SZIkSZIk6Vgy+JIkSZIkSdKxZPAlSZIkSZKkY8ngS5IkSZIkSceSwZckSZIkSZKOJYMvSZIkSZIkHUsGX5IkSZIkSTqWDL4kSZIkSZJ0LBl8SZIkSZIk6Vgy+JIkSZIkSdKxZPAlSZIkSZKkY8ngS5IkSZIkSceSwZckSZIkSZKOJYMvSZIkSZIkHUsGX5IkSZIkSTqWDL4kSZIkSZJ0LBl8SZIkSZIk6Vgy+JIkSZIkSdKxZPAlSZIkSZKkY8ngS5IkSZIkScfS0lEvQJIkSZKkQzNag41zUG9AU0PWUI+g2YB62DsflvPjLCo4c2e45u6weh0Mlo96RdKhM/iSJEmSJC2+ZgQb52F4HtZvg4vvhfPvKm+PLsJovYRe2UDmUa/2aFUDWLkaTt8JrrlHCcJO3wBLp456ZdKBM/iSJEmSJC2W0Tps3F4quS6ehQvvhLVbYXgR6rUSdHXZVjalmmu0DjTt27l1ObOckyUYO+4GqyXgGl4sH7Ozr4cIWL4KTl1fQrA7PwhOXXfUK5UOhMGXJEmSJGk+ZZYQa+NcOZ1/F1x4F6zfXq4fXiiVXp1mCPV6aWscbZQ2xmZUwp5quQQ8UUFVQbUC1RLEoJx3J+LI3t1D16yXSrj128rHshqUEGz5dAnC1m+H2/4D3vVK+OAvheUzR71i6bIZfEmSJEmSjlYXcA0vlNP6rSWguXi2tCoOL5bbm3rr+GajVHF1QVe9DrFUQq7BCpy+I6xeW05Lp8ppsFyCrzjh+7yN1tp20PfAhXe3QeJ7SuY3OAXXvA+cewdcf9+jXql02Qy+JEmSJElXTiasnS1tduu3lvDl4tkSxozW2iCrN2Q+m14VV3t7U5dwa7ACS6fhqruW1rzlM+XtpdOlmkmTdUHgVXcpb9cbsH4O3v4yWLuttHxunD/aNUoHxOBLkiRJknT4hhfg3NvLTKlzb4e1W7YquKDdbXHYVm9ttG2LG0ADVVvFtXoNrN6rVHEtnymnwWppYdT+DVbgzA1w6oYSfDV1qbSTjgGDL0mSJEnS4WhGZZbUrW8up4vv3dpdceN8r01xA4jSilitwNJK2WVw9RpYuaZUcC2fLgGNDs/SajlPgy8dHwZfkiRJkqSDk1mquc69Fd77+jJDauO2ssvi6GKZLTVa22pLPHNnWL0OVs6U+VJLq1ZxHZVBG3w1o/J/JB0DBl+SJEmSpMvThV0X3g23/XtpZbz43tIy1wzL8PSN29t2xTvAHR8IZ+4IK1cf9crVt3S6nGddWlOlY8DgS5IkSZI0u2ZUwq0L74KzbypD6tdvK9dnU1rl1ttB6SvXwh3fvwxTX73OwfPzarBadnas61LxlY07YGrhGXxJkiRJkqYzWi9VXeffXmZ2rd1aKrmaZqtKaOM81GuwdBVcffdyOn3D1vwoza/BEsQAclQCzHro/5sWnsGXJEmSJGmyelhaGC++t8zsOv/Osuvf6HyZ2dUMS2XXxvlyeekqOHUHuPpucLptZXRW1+Kolks1XlO3wdeGwZcWnsGXJEmSJKnogq61s3B7G3RtnIPhuVLVBWUnxo3z5bqkhFvX3GOrjXH5KsOuRVV1FV/tbLZ646hXJF02gy9JkiRJOqmaGtZvhQtdRdc7StC1ca7cBiX8GF2E4cUy92mwXMKt6+8PZ+4Eq9fC0qmjfT90MKqlUvE1HG5VfEkLzuBLkiRJkk6KzNKaePFsCblu+4/Surhxewk6YCzoulja35ZPl10Yz9ypVHWtXFMCMB0v1VI55agEnwZfOgYMviRJkiTpOKs3StB18d1w63+U3Rc3bofhWrk9R7BxoYRco4ul1W3pNJy6Hq5+/7Ij48rVzno6CSLKzo5Ju1nBuaNekXTZ5jL4ioj7A98OPBx4EPBXmXnTHvf5cOC/Ax8D3AP4D+C3gCdm5trYsY8Afgp4MPA24Kcz82cO+N2QJEmSpKPR1GX3xdv/E255Uwm+hudLxVc2pWVxeL4EXUmp6Fq9Dm54v9K6uHK17Ysn1aANOJu6BKLSgpvL4IsSdn068LfAtPWzjwbuBzwR+DfgQ4AfbM8/rzuoDdWeBzwH+C7gI4CfiogLmfnLB/UOSJIkSdIVlVnmdd3+Vjj7+hJ8rd9Wrq83YHShDKWvN0pF18oZuOaecOaG0rq4dNqh9Nqq7Mu6tLtKC25eg69nZ+YfAUTE7wF3muI+P5qZ7+69fXNErAG/GBH3ycw3t9d/O/BW4EszcwT8RUTcG/j+iHhKZuYBvh+SJEmSdLiGF+Dc2+HsG8r52tlSrZOjMqR+/TagguUzZffF03eGU9fA8tVlkLnUN2gr/ZoaRuePdi3SAZjL4Cszm33c590Trv7H9vweQBd8PRL4rTb06jwd+Hrgg4BXzPrckiRJknRFDS+Wiq7b/qOcLr4XRuuljXF4HtZvhxzC8jVwh/eFq+4Kp66DwcpRr1zzrmtxzbqEqtKCm8vg6wA9HGiA1wNExFXAvYDXjB336vb8gewRfDVNw8WLlntKkiRJusI2zpfB9Lf9Z2lnXL+tzOqCMqtr/fby9tKZsvviVXeD09dvzWwaAkN36dMe6gqGDawN4fw5uHDBFlgttGMbfEXE3YDvBX4jM9/ZXn2H9vyWscPPtufX7/BYjwUeC3Dve9/7QNcpSZIkSRNlljDr4nvg1n+H8+8sM7zqNrwaXSxh2PBCqeRavbYMpz99AyxfZVih/RmsQFSlVbYZQTO0UlAL7VgGXxGxAvwucA74lst9vMx8MvBkgIc+9KHOAJMkSZJ0OJoRXLwF1t5bWhgvvAfWbinXZ5awa3i+tDoOVsqA+mvvWSq8Vq+FcGaXLlO1BLFUZnzVw3Iy+NICO3bBV0QE8OuUnSEfkZlnezff0p5fN3a3rtLrLHuoqorTp09f7jIlSZIkqYRZG+fKjK5zb4Pb31JaGDduh6YpM7vyQgm7RhfL4PGrroWr3w9OXQ+r1zmgXgdrcBpOLZfPzZWAlQp8DawFduyCL+BJwGcDn5yZ22Z5Zeb5iPgPyiyvvu7t8dlfkiRJknSw6o0SdHXD6S++t53XtV5ub4alfXF4Aer1MrNr9Tq44/u3Ydc1pRVNOgzVUqkcbNa2Kr6kBXasgq+I+C7gG4EvzMwX73DYc4HPjYjvzcy6ve7RwH8Ar7wCy5QkSZJ0kozWy2yui2fh3FvbWV23lyquzFLVNbpQ2heHF0qotXwGztwFrrpzCbtWrnZml66MaqlUEY7qMuerC2SlBTWXwVdEnAE+vX3zfYBrI+Lz27f/JDMvRMTrgBdm5le39/li4EeApwJviYiP7D3k6zPzXe3lHwe+BPiNiPgl4MOB/wZ8fWY6v0uSJEnS5Rmtl7lca++F294KF97VzuU6X9oXoVRydVVdzbC0l61cBdfdG07dUKq6lk4d6buhEyqqMtOryfL5Ojx/1CuSLstcBl/AXYBnjF3XvX1f4E2Utfeb2T+lPX9Me+r7SkogRma+LiI+DfgpSvXX24FvzcxfPpCVS5IkSTo5uhld67fB2lk49/bSwrhxbquiC0rQNbpYqrpGayVYWDoD17zP1mD6lattYdR8GKyW86zL5620wOYy+MrMNwG71vFm5o1jbz+GSwOvne77YuAj9rU4SZIkSSdXvVFCrvXbSsviuXeUQfTd8Pmuh2Ri0HUaztx5e9DlbnmaR0tt8NWMSlWitMDmMviSJEmSpCPXjMosro3bS+viubeXQfTDdpfFph0ZnHVpbxytlVO9btClxbbU7uKYta2OWngGX5IkSZJUD0t74sbtpWXx/Du3Qq7RRRht9I7daEOuiyXkygYGp8pMrqvvDqevN+jSYutaHZu6VC1KC8zgS5IkSdLJkVkCq43zJehaO1uGz6/dMjnkaoZb1Vz1egm9quUScq1eA6fuA6fuAMtXlZ0Yq8FOzywtjm5jhaad8ZXprqJaWAZfkiRJko6neqMEXMPzZSbXhXfDhffA6EI7e+viVrtid3xXzVWvl1O1XKpfllbhqjvD6nWlmmv5TLneMEDH0WAFqqq0OtbD0vY7WD7qVUn7YvAlSZIkabGN1ku4NbxQWhUvvrec1s9B3Zu71Q2ez3or5Ko3yv2bIVRL20OufiXX0il3XNTJUS1BDEow3AzL14nBlxaUwZckSZKk+de1XA3baq2N2+DiLe0crvNbuyjWG72AK8uL9majtC92VVxJqWjpBtBfffe2iusqWD5tyCVVS6VtN+tS7dUMj3pF0r4ZfEmSJEmaD5tD49sQa+Ncmb21drZcHq2XU722vUUxm62qlLo9bzbKC/ZquQ24VuHUXdqh89eUwGv5tMPnpUkGy6Xiq26/juqNve8jzSmDL0mSJEmHr6nbqqy26mq01s7eur3M39o417YktuFV055ve4zh1ovw/gvyrKFa2ariOn3HEnCtXlOqt5ZOlRZGB89L04lBqfoaXTT40sIz+JIkSZJ0eboqq36w1c3bWj8Hw3OlPbEZtqFWV5VVb3+cbNq2qvbUHdtVb8Vgq4JrsAqnb4CVa2Hl6q2Aa2nVNkXpclXt11rTlNPwwlGvSNo3gy9JkiRJl8rcXl3VD7Y22jCr2zFxtNEGVMNeuFVPeMwR1KNyvhls1VuVXJntgPlliCVYWt6q3Fq+GpZXYdCGW9WyOypKh2lptZznCDYMvrS4DL4kSZKkk6IfZo3PxBpdaIOsC1s7JNbDrcHWm0HVaPLjdmFWNwx7M9TqXd+1T3WnwSqcOg1LZ8rOid3MrcHKVmWX4ZZ0NAanynk25XuCtKAMviRJkqRF1QVZXZXVZqA1bNsNL5ZAq9sJsWs33Gwn7F3OnPD4zVaQlXU7p6ur2Kp7581WmBXtbnCDFVg93Qu0TsHSSjuLa7kNtpav/MdM0nS6jR+aUZn1JS0ogy9JkiRpHoyHWP0qq3qjvPAcrZXzYXs+Wh8Lsnqh1KRWQ+iFWV1w1Wy/Tz/oStpZP0tb1VqDAVTXwnI7U2v5TDs4fhkGS71gy5ca0kJbaiu+mtoZX1po/jSSJEmSDlJ/ZtW2Ie3t5dEa1GvtrobtebfLYfbCp/4srC6EmqQLsrLZai2kgboG6l6gNWqPpYRZMeidL5WKrNXV3pD4U72Ww6VyXi05W0s6KbrgK+tSLSotKIMvSZIkqZO5FT71g6vxEKte29q9sDuv19sh76NL2wM3WwJ3CbBgK8DqQqx+oNUPxTaPqyGjDbCqrRArqrYy69TWMPhBG2p1bYb9WVtV254oSZ2ldsZeMyrf35qRlZxaSH7WSpIk6Xjot+ltuzzaHmTV69t3KBzftbCZEDbRC52aZvd1ZAJjwdWkMKt7u39sF15tng+gai8vnS6h1WClhFib571KrKo3PD4GVmZJ2r9quXwf6apG66HBlxaSn7WSJEk6GuNVTJec9wOrja2B7d38q3qjrbDqhrqPVUI1vcub1+0RWsFYcNUGVDTtfdvz8UBr87Gbcv/N8KrqVWO1AVa3a2E3F2tz4PtKaSnshsP352p1jyFJV0r3vSfrre+zy6ePelXSzAy+JEmStLN+69+2QGlSC14zFlJt9Ia09wa2b17XBUkTQqR+kDRNWNWtlWbsscZPOSG0GntuohdUVdtDrOhVX3W7Enbnm/OwlifP0Np82wBL0gKolksQn91GGxtHvSJpXwy+JEmSFlHmhLCo3043NvC8H1o1YzsGbrs8Nox9c55Ujj3PTgHSbgOsJrwP9AOpBuiCtu7y+HONHde/vR9Y0c69InrBVXt5sz2wbRHstwoOVnoVVuPh1WD7Y0nScVYtlVbrYW3wpYVm8CVJknQQLpnjtFvV0djt9WjrL+pda18/eGp6t2Xdu208OOoHVP1wqB+SzRBM9d+3bSHU+GP31tGMrYmx9Wy2AzaUUCqAanswFW2ARbV1ebC6FUj1dxfcFlwtbQVT4+2FhlaSNJvu+233R5PR2lGvSNoXgy9JkrTYxiufGK+EGqso2i2M6kKnSUPRJw5N713eDH/Gg6fxsGjSWi/jfad7nN5z0Xu+rnKqu67Z7T51edzN+3S3jVVSRf/tLpzqXbcZTPUGrW+2+vV3E+yHUdXWEPeJbYaGVZJ0xS2ttj+jGhieP+rVSPti8CVJkva2rXJnPMSZFPTsFPaMBT/9VrrNgKnZfjnHwqV+4NSvZtq2nvEQqgt72Pl9OJCP0dhzbAZQ9J4vufTjuct9+7eNh1gEW6FUdzkuDaj6x2wGU9XWEPVtA9QHW7dX3aD1fsjVC6i6x92cW9W1F0qSjoXBajlvRrBh8KXFZPAlSdKVti10uZzLkwKS7LXZjcZ2nxsfUD5+225v9wKYzefcIbCZJgA6iKBp28e0C4TGnzO3Xz8ePPUrrnZcd/98wu2bt/WCp23nY6EUE0KqqoJY7oVIvSHo0dvRb3Onv6Wxdr7YCqKqfhVWr22wf5IkaRpLp8p5U8Po4tGuRdongy9J0vzaFrD0Qotdz3cILHa8fz8w6s0e6u8ot9PMpqbuPUY3RLyrfOrdfsl9xwOTSWHMDtfvdZ+DDpQu+f9oujfGnq8fbPUDovH1MzlouqQSakJgtXnfCY91Sdi023lVMqrxcGo8fKLaHjiNv705+LwCBltVUf1wazyU6lddbds50DY+SdIc6oKvrGF04WjXIu2TwZcknVTbhnDXl16eFPJstqaNei1pXcgzYX7RZuDUD4G6MKl37CWhU79yqB9y9EMRxgKR8dsmhCpke3gvpLnktitg/P26ZN3jwc+Ej0NOun/2AqXx4Gjax262PkbbAjW2wpkuLLokUKJXTTQhdBo/rmu121aJ1IVKXSg0Nu9pM4Dq3bc7fmJF1aSgKbbWOX69JEna0rU6Zg1Dgy8tJoMvSZpH42HTpDa1bbd385E2tnZ763aBq4djl3uh1WbIlZde3nGe05X8OIwHRHBpSNS/LiffN8fut1NgBNvDtP4x4/fdDM665xp7ezyY2rZuesEMXBIK7Rok9S+PBVHdedW1uI21vHXzl7pwqOrPZGqP6wdLjAdO9IKiSe18cEno1N1nx7Y/SZI0t5ZOlZ/v9QhGG+X3TWc5asEYfEnStLYN5e4FUuPh1Ph1mzvD9UKnfjiV9fZAalsoNV5B1auQ2mzF60Kr/bxPXcDVr75i6/E2Q6Be6LXtukmB0C4B1Ph12bvfeBjVvbkt7GnPx0OgS44bD4X695t0ma379KuNLtnJrt+W1puldMlcpV6727YAqXfdjlVTB3UuSZJ0mbodebNuf5cdGnxp4Rh8SVpcm2HNDrOXtl039nY9guzCphrqja1d5PqtfM2oPba3w1wXAk1s2Rtr8bucId5Zt+cTqq42WwN7oVTTVR31bhsfSL55uZuLNN4GNh70TKjq2Zxt1FUBxdh9u3CnPYft128LjcYCpG1VQ73Ws831sP35oPfc40FS77aJoZCBkSRJ0q4Gy+X3ve735Hpja+6XtCAMviRdvt0CqJ1O4xVRm0FT90O1DaW6wKmbPdX0wqpt86HqsYCnXxk1qX1vv+/reLVTb9D2ToFUskuINbbm/n12CqUuudy1qLWDuasBm7vAbe4Ot9S7fqkcWy33wqrebnDbhnDvMB9JkiRJx1+3kUv3u3q9cdQrkmZm8CUdBzu1w81ymhQ+9UOniSHUtAFUrxLpoKqhNt/33YKoSZVOuf3tfrvexDBq7LiJw7OnCKcGq9urpao2jOoGeVdLW6Xk3dub9+/NWervELftcnesJEmSdEAGy+X30uHG1h+npQVj8CXtV7/KZ9IudpfMY5oUOOVWiDQxdGr2CJy6Y/tDvCdVD03x9mV/PCYEUN31m0HSpONy8nXjbXrbHqtfFTVFEDXptm3VUV3b3lJvsPegF0S1t0UvjBoPohgPpsaOkSRJkhZN1znQbaQ0WjvqFUkzM/jS4hgPlS4Jk6a8rV/h1B8ivi1g6l23GUyNXzc+O6kXykwKmCaGTl3Ic7kfm97zTgqPuo/f+G17Diyf4f47BVATg6gdZkaNz47qWvAuub0Lo5a3P+clQdR4NdT4MZIkSZJ2FG3nQje6Y+P8Ua9ImpnBl7aMV9lMnJE0Hirtctx4wETTq1KqtwdKXQDVv53x6ydU/vSDp22VRuPvy3gF0UF+zPrB0NjHsX/MpHCp29Vux9BprGWv/75vO569g6cdq5/ay4O2umlzx7nBpeETbeDUhUfVci+kGgug+vOgLtkVz5lRkiRJ0kIYrJTzpobRxaNdi7QPBl9Xwq5tZvtoSds2S6kXFPUDpH6bHDkWIDW9+3WXx9vyxkOYHQKn/nWMv18HGDB1H8cdq5q66+mtobtM7z5dANVb/1Rh04QqJ4DNHeTg0sCJnaucdgqdtg0Z7++aV21/u3/stMHTxB37JqxZkiRJkjrdLo5Zw9CKLy0eg69ZbZyDN/9VLzxqetVJ/QCpd9t4dc6egdK0bWiHYJpAaPy4S9YNMwVM3fHj970k5GJ7WLRjRdNux8C2+U79He3685iqXuXTZpVTe75ZEdUfPj5plz3YMYi6JJSSJEmSpDk0WC3nTQ3DC0e7FmkfDL5mNTwPb/uH2e/XD3YumZPU3c5YSNa7fmJ73E6hEtuPHX/+vYKlfgUT/evGqpg2b+tCnp0CpqXtodJm9VIvdOpXOMWEkGkzfNpjiHkXIu0UNHW3Wd0kSZIkSXvbrPgawdBWRy0eg69Z1SO4/S3l8rYwaSxo2jbjiRkCJbZf1w+VxquZuiqkfnC0bXh3tRUeTQqWNgd/T9iNbprB5NNeJ0mSJElaTEunymvSut3VMRu7VrRQDL5mVQ3gzJ3bL/7q0tBoWxscbK9U2qkFb6wtbmKYhKGSJEmSJOnKGiy3xRY1NEOoh7C0etSrkqZm8DWrqOCae8C19zzqlUiSJEmSdLiqdiOupi6bptUbBl9aKNYnSpIkSZKkyarl0vnUjNrT8KhXJM3E4EuSJEmSJE1WLZXgK7tWx42jXpE0E4MvSZIkSZI0WdfqmHVpdxytH/WKpJkYfEmSJEmSpMkiykyvJkv4Nbxw1CuSZmLwJUmSJEmSdjY4Vc6bGobnj3Yt0owMviRJkiRJ0s4GK+U8a9iw4kuLxeBLkiRJkiTtbKmt+MoaaoMvLRaDL0mSJEmStLOl1XLe1DC8eLRrkWZk8CVJkiRJkna21JvxNboImUe7HmkGBl+SJEmSJGln1QpUVdvqOIRmeNQrkqZm8CVJkiRJknY2WIIYQDMqp9rgS4vD4EuSJEmSJO2sWoZqCbJpg6+No16RNDWDL0mSJEmStLOqV/FVDw2+tFAMviRJkiRJ0s6qJagGZcZXjmC0ftQrkqZm8CVJkiRJknYWVWl3bJpyGl086hVJUzP4kiRJkiRJu1s6Vc6zhuH5o12LNAODL0mSJEmStLvBajlvahheONq1SDMw+JIkSZIkSbtbaoOvHNnqqIVi8CVJkiRJkna3dLqcN40VX1ooBl+SJEmSJGl3g5VyniODLy0Ugy9JkiRJkrS7pVWIKDO+6iE0o6NekTQVgy9JkiRJkrS7ahliUIKvZgT1xlGvSJqKwZckSZIkSdpdNYDBEmQNzdDgSwvD4EuSJEmSJO2uWgYGbfBVG3xpYRh8SZIkSZKk3VVLMBiUNsdmWOZ8SQvA4EuSJEmSJO2uGkC1AtlA07izoxaGwZckSZIkSdrbYBkSoIaN80e9GmkqBl+SJEmSJGlvS6fKeVPD6OLRrkWaksGXJEmSJEna26AXfNnqqAVh8CVJkiRJkva2tFrOmxEMbXXUYjD4kiRJkiRJe+taHdNWRy2OuQy+IuL+EfGLEfHPEVFHxM1T3u+6iPjViDgbEbdGxNMi4o4TjvvsiHhFRKxFxKsi4tEH/k5IkiRJknScLK1CUFod641yLs25uQy+gAcBnw78K/DaGe73u8BNwNcAjwE+HPjD/gER8dHAM4G/BB4J/DHw2xHxKZe5ZkmSJEmSjq9YKqesoR6V8Euac0tHvYAdPDsz/wggIn4PuNNed4iIhwOfAnxcZr6ove4twN9FxCdl5vPbQ78PeFFmfnP79l9GxIOAxwF/dsDvhyRJkiRJx8NgGaqqzPjKNvhaPn3Uq5J2NZfBV2Y2+7jbI4F3dKFX+zh/HxFvbG97fkSsAh8PfPPYfZ8O/GpEXJeZt+72JHUmZy+OYMlkW5IkSZK0fytLFVetzOXL8smqruJrBPUQmuFRr0ja0wJ9he3pgcBrJlz/6vY2gPsByxOOezWl7fMBwEt3e5JbL9Y851Vvo15Zv7zVSpIkSZJOvAfe7Voe/D6XjKaeT5kwChgOYW0dzt0GcdVRr0ra1XEKvq4Hbplw/VngfXvHMOG4s2O3bxMRjwUeC3DDHe/A7RfX2KjdwUKSJEmStH9VwGvf0fCAu1zL6eXlo17O3mJQqr6oIRsYrR31iqQ9Hafg69Bk5pOBJwPc5153zdHGGuuNwZckSZIkaXZNwsVRw9JgietWVxiO6sUIvgAGq5CUAfdDXxdr/h2n4OsscOcJ11/PVkVXd37dhGP6t+/o1BI8+G5nWLnhbvtapCRJkiTpZLuwcZ6X/8cbaJrbyXhfVlZu5PSplaNe1nTOnIGNqqQJgxGcdri95ttxCr5eA3zMhOsfCPxhe/n1wLC97oVjxzTAa6d5oqVBcHplQb4pSZIkSZLmQtMMWRu+k2b0Ngb5TrKp2Vh/I6P6gcCZo17edJZWy3nWMLxwtGuRplAd9QIO0HOBu0XER3dXRMSHUeZ7PRcgM9eBvwS+YOy+jwZesteOjpIkSZIkzSqzYX34bm6/8GrWLryOpr4FGEJzkcxkNFygzdNiUM6zhmZ0tGuRpjCXFV8RcQb49PbN9wGujYjPb9/+k8y8EBGvA16YmV8NkJkviYg/A349Ir6NUsH1RODFmfn83sP/IHBzRDyJUgn26e3p0w753ZIkSZIknSCZyai+jYsbb2O08W6aZh1yRI7OQb0OWUKxJuujXur0qjZGyIQ0+NL8m8vgC7gL8Iyx67q37wu8ibajeOyYRwM/DfwKpZrtOcA39w/IzBe3IdoPAV8PvBH44sz8swNcvyRJkiTpBKubi6ytv4ONjXfQ1OdKwFWfp2pGrA6uAkYkNQmM6gUKkKqu4iut+NJCmMvgKzPfBMQex9w44bpbgK9sT7vd9w/ZmvslSZIkSdKBqJs11odn2dh4K/XwNjIbsrlINhdZjtMsr9yFavkaqsFroR6RJHXTHPWyp9e1OtIYfGkhzGXwJUmSJEnSoshsGNXn2Bi+l43Ru2lG58isodmgqc8zYImV5buytHw9Ua2QmQw2az0aRvUCtTqGFV9aLAZfkiRJkiTtQ5NDhqNbWd94F/XwFprmAgnQbFA3FxgknBpcz9LKHakGpzfvFxFEBGXIV8PGQrU69mZ8LdK6dWIZfEmSJEmSNINRfYGN0Vk2Nt5JU99O0wwhG7JZI+s1qqhYHVzN8vINVIOriagueYyqDb4yoV6kiq9qUAYTZQM05XzC+yfNC4MvSZIkSZL20OSQ0egc68P3MBq9l2Z0nqSBHNHUF4gcMYgVlpfvxGD5OqI6PTHw6lRVuS1JhotUORXRBl2lWo2mhoHBl+aXwZckSZIkSRM0WTOqb2c4vIXh6D009UWaZr1kPrlG01ykapLl6iqWl+/KYOkaYrAy1WNXbSiWmQwXaVZWDIAooVe24Zc0xwy+JEmSJElqlUH15xmObmFj+G6a+kJpYQTIIVmvk806g1hmdXAHllavIwZXEZu7HU6ntDoWC9XqSJRTJmRt8KW5Z/AlSZIkSTrRMhvq5gIbo9sYDt9DPbq9DbsSckQ262S9TkSwFKdYWrkbS0vXQnWqHVI/u2pzd8QF29Wxqnqtjm34Jc0xgy9JkiRJ0omTWZfKrvo2hsMys6tp1tq5XWVQfdOsU2UyqFZZXrkzg8E1xOD0zNVdk3Qzvhpg1Awv+/GunKrM+cpm6yTNMYMvSZIkSdKJ0OSwhF3DWxmO3ktTX+xVdjVkrpewq6kZVKusLl3P0tK1RHWGqA725XN/xteoWaCqqc3h9mwNt5fmmMGXJEmSJOlYykyaXN+c2TUc3UJ2A+oBsi6VXblB1TRUscLq4FoGK9dRDU4T1XSD6vdj0LVIZjJaqF0du+H2IzZ3dpTmmMGXJEmSJOnYKC2MFxjVt7MxOkszOk82F2myDZdySNYbNLlOlTCoVlgdXM9g5ZpDD7v6qs0KsqRuFig8imhbHSnVXs740pwz+JIkSZIkLaztVV23MhrdOtbCmJAbNM0Qmo12QP0qg+U7szS4mqhOEdXyFV/3ZsUXSd0sUsVXO+OrabDiS4vA4EuSJEmStFCaHFLXFxjW5xmOztLU50sL42ZV14hshjS5TmRNxRLLscrSyvUMBlcd2ID6y1GG2wcNSZMNmbnvHSKvqOjv6uhwe80/gy9JkiRJ0lzLrBk1FxmNzjOqb2FUnyPri2SzcUlVVzbrVASDWGZlcC2D6ioGS2egWiW6oexzoIqKICCTukkakgELEnwR0O5+6XB7zTuDL0mSJEnSXMlsqJs16ubiWPviOklbYZRDstmgyWFb1TVgOU61VV1njqyFcVrdro40kDmiaZLB0RahTScqoGrDxjT40twz+JIkSZIkHantQddt1KNbaZo1slnvtS82ZK6Tm7O6BltVXTGfVV27qaqSciVJk0nTNCxG8gVUVRlunwnN8KhXI+3K4EuSJEmSdEWVoGudurmwa9BFDmmaDbLZoAKqWGGpOk21cmcGS6eJOEVUi/mytup2R6Shzm7A/fxWqG2z+TFvYJEG8+tEWszvEJIkSZKkhZFZj1V03bZ70JVDIpNBdEPpb2jbF1eJauVo35kDUrWD7EvhVFvxtSg2q+oSaiu+NN8MviRJkiRJB6rJEXVzkVF9kVF9K/Xodpp6rbQqdrsAXhJ0NQximeVYZbBc5nRVsQrVymLsdjijKoKqHWbf7ey4MLqKr8aKL80/gy9JkiRJ0r5lJk1uUDcXqeu2dbE5T9Zr7a6LXdBVk+1A+szRpUFXdZqqOgXV8sLM6bocXatjZkNmUi9UxVc3iywNvjT3DL4kSZIkSVPrD6Ifjc4xqm8rOy7mRrvrYnfgqA26htCMCJIqlqmqUywtnaHarOg6GUHXuIou+IKGhmaRdkdsB/N3VXvSPDP4kiRJkiTtqG42aLq2xeY26tE5sl4nc6M3nyvboGuDJodEMyKoqGK5HUZ/FYPBaaJahVg+lq2Lsyofg4DMdsbXAgVf0YsSaiu+NN8MviRJkiRJQH8I/dpWNVdzsbQnNhtkV8+VTVvhNWrnc9VUscQgllgZXMtg6SqqpVUiVolqQXYqvMKWIujG2zeZ1Is046ur0MsG0uBL883gS5IkSZJOoMymnc21VmZz1bdT11vVXJl1d+BW22KOyGZIBaVtMVYYLF/LoLqKqlppB9EPdn1eFVEFQZQxWYtW8dUNt09nfGn+GXxJkiRJ0jFXBtAPaZo1RvVF6uZ26tE5mmatrdwajs3mGm1Vc9FQUTGIZQZxhmrlTGlb3JzPZdvifgy64fY0i9fq2J/xVTvjS/PN4EuSJEmSjpmmGVLnGk2zznB0O3V9ewm5JrQs0lZybZ/NtdSr5jpDVKuE1VwHKqLqhYaLvKvjAgV2OpEMviRJkiRpgTU5pG7WaZo1hqNzbcjVzeUakrSByoSWxbLT4hKDWGalupZq6SoGgxJyOYT+cAXRfnyTJNkYLVDLYNfqiK2Omn8GX5IkSZK0IEolVwm56vo8w9HtNM2FEnA1G72QC2Ar4Mqs2wH0AwYsMahKy2I1OEUVy87mOhLBoM0VM5vFGm7ftTo2pWJQmmcGX5IkSZI0h7a3K/YruSaFXG0lVxdyURMMqFiiqk4xWDrDoDrdtisuE5UvBY9aRDvcngYyGY42jnpJ06sGELTD7cv6sTpQc8rvdpIkSZJ0hMrg+Q2aZp1RW8m1fSbXcIdKrjKEPrIhiLLLYrXKYOl0O5drmYgVolo+yndPu6iqrVlZo4WalVXBZmjXQNYQxguaT35mSpIkSdIVktnQ5Dp1s05dr7W7K56nadbbiq3+4PmkVHKNtldyZVVCrlhmsHwdVZyiGqwSsQKx5FyuBVK1/1cJjBZpxldU5US2wdcCtWnqxDH4kiRJkqRD0OSIpmlDruYCo/ocTX2+DbG6Sq5WWzWzOXg+R0TWRCy17YqrDJbOtCHXiiHXMVFFBZSqv2G9QOFRBBDthglN2dnREXGaUwZfkiRJknQZ+q2KTW6087jObc7jIoc02avmyTIQvARcdW93xTJ4vqpOUS2dYVCd6s3ksl3xOOqCL2io60Wq+BqU8CubrfBLmlMGX5IkSZI0pSbrNuBap64vblZxNc3G1nD5S4bOj6AZ0VDOyzyuAYNYYhDt7orVKlW1Ag6eP1Gqqqv4gmEuUvAVbfCVZb6XwZfmmN9RJUmSJGlMmcW1QdNsUDdrjOoLNPV56rxI1hs7VHHVbRVXO49rc+j8UjkNrqNaOs1gsErEMlTLRNgfdpJV7f9/kozqBRpu35/xRRt+SXPK4EuSJEnSidY0w3bg/EY7i+t8O4trox0s3xs4D5CjEnI1IxqG0NSbrYqXzuNa7s3jqnZehE6kpW64fSb1Iu3qGO2ujt1geyu+NMcMviRJkiSdCFttihvtjornyo6KuU42ozJwvl+5MrGKqyaoSsgVy6xU11AtnaYanKKKZVsVNZOo2s0JMhkt0owvAqiAemu4vTSn/I4sSZIk6VgpbYqlgqtp1hnV56nr8zS5BnW7o2KOejsqJmUWVz02i4vSosiAqjrFYOlUqeKq2l0VK6u4dHkGvVbXepHaBasBVAEjh9tr/hl8SZIkSVpI/TlcpYrrPKPROepcg2bYGzY/oU2x21ExR20V16CdxbVMNbiKaunU1iwuq7h0SAa9GV91s0jhUZTT5nD7BQrtdOL43VuSJEnSXLs04GrncDUXSrCVo+27KULbpjjcDLf6bYoRAwYxYBBniKVTDKrTRLW0FXK1c5ekw1YNyqyspKGpa5psqBahirA/3N6KL805gy9JkiRJc2Er4GqHzdcXGDXnaeq9Aq7eHC5qoqmBoIoBg7ZNsVo6TRWrbZtit6PiAgQMOtaqqAgCEhpqMrMUU807h9trgRh8SZIkSbqiJldwnaNpLu4dcDEqg+gZtbsp9udwrTKoTlEtnaIa9AOuwY5rkY5SdClXA3UmdZMMFiGPjYCqgqRUfNXDo16RtCODL0mSJEmHouyiuNGGXOuM6gs09fneDK4R2WyMzeDaLeAaUFHmcA0G17QB1yoRS87h0kIaVAO6VsfMZrHmfEX39dZAs0g7Uuqk8SeDJEmSpMvS5LBtT9ygrteomwvU9YWtXRQZtiHWeMDVDZgvLYqXVHDFMtXgmrKbYlfBZcClY6TqZsSTNJllZ9FFUfVK0xorvjS//IkhSZIkaU+ZWQKurkWxWaOuz1PX52lyg2xG7TD5UT/eand8G23tojg2g2urRXG1zOEarFjBpROjbKRQ2h2bTOp6gYKvruIrrfjSfPMniSRJkqRNmXVv/tawN2C+m7813Ayxtu4EMOoNma97uyhG2UWxGzI/OEXF6lbAVa04g0sn1iAqqgigacPlRQq+2oovZ3xpzhl8SZIkSSdMZpI5KgFXblDX6xPaE7sB85Pnb9HUNJvztxqCQQm4YsAgThNLp8Z2UVwy4JLGRDvbPhMaGpomd7/DPKms+NJiOJDgKyLuD3w28L7tVW8Anp2Zrz2Ix5ckSZI0u1K9NeztnniRUXOBrC/Q5HCK9sS2gqs3fyu69sRYoqqupVpapapOEdUSQRdwLcK2dNLRG0QFEWRTZnzVixQgbQbZafCluXbZwVdE/CjwbZTG5DavJoEnRsRPZeZ3XO5zSJIkSZqsm72VuUHTDKmbNerm4lj1Vt1WbzX9OwJty2JTZm9ljohsGJ+/VVWr7Q6KpXqrzOBaaucTSdqviCAorY4ATS7Qro7dcPtsHG6vuXZZwVdEfBPwHcC7gd8E/g04DTycUgH2rRHxn5n5M5e7UEmSJOkka3K0OXeradZLuNVc6M3eGkGOaHKs8mLb7on96q3SnlhF16I43p64BNWy7YnSIRr0htvX2dAs0nD7arm9kNAs0Lp14lxuxdd/B94C/JfMfGf/hoj4POAZwNcDBl+SJEnSHrZaE4ebrYlNc3H7zokMyaa+dPYW9d7VW7FMNbi6VG9VK0TVr96yPVG60qqIUjmZZbh9zQJVfPWH21vxpTm2a/AVEd8CPCkzd5qwd1/gt8ZDL4DMfGZEXGyPkSRJkgRkNiXcalsTm2atHSy/VloTm1GpzLqkNREu2TlxwuytiCUGcRWxtGL1ljTnqrZdOGk3nVikyqn+cPvxSlNpjuxV8fWTwBdHxNdm5j9NuP1dwEMiosrc3owcER9IaXt864GsVJIkSVoQJdwa9eZuldbEpr5AnWvQtiZ2Adb2O7etidRtZdfknRMjVhm0s7di2+ytgdVb0oKooqKqgjb6YlgvUIBUOdxei2Gv4OsJwHcCfx8RPwM8LjMv9G7/PeB/AH8cET8LvJ4Sdn0E8N2Ur95nHviqJUmSpCOWmWRXuZVD6nqjhFvNBZrmItmMyBxuVWhtu3NTrm9DrYYasp7QmrhEVZ0Z2zlxqd050eotafEFFV3VVzKqF6nVsf0elA0sUmCnE2fX4CszHx8RTwd+EfifwOdFxDdk5p+0h3wf8DDgU4FPGbt7AC8DvvdglyxJkiRdGVvhVjdza1K4NWqHx08Ity6Zu1UTbYVXvzVxpTpNVKtta2LbkhjLRHXZm7BLmmMRAdFWfGWyMVygAGkz+KJUfGW274s0X/b8SZqZrwE+LiK+Gvgx4NkR8XvA/8jMt0fExwBfBXwO8L7t3d4I/BHwK5nplDtJkiTNrW1tiTmkrtepm7XZw62s250T2+ot+uFWb9dEVqgGK5tD5ctgeV8sSifVICogyUya8dbneVYNSrlL1iX0ymYrDJPmyNR/QsrMp0TEs4AnAV8EfEpEfGdm/iLwS+1JkiRJmjtbA+WH5NjMrSbXZg+3+kPlqaiihFtVnC5tiaxSDZZL1ZZztyTtosz4AkjW6wWqG4lqa2dHmvZ7pcGX5s9MtdOZ+S7gSyLi14D/A/x8RHwZ8LWZ+erDWKAkSZI0jcy6hFtNt2NiF25dpM71vQfK71a5NR5uDVapWOkNlR+0lVuGW5Jm083razKpF2lXx6iAaGcWlrmFsHzUq5Iusa+hAZn5ZxHxIODxlNlf/xgRPw78UGauH+D6JEmSpE1Njmia4ba2xKa5QF1fpMn1rUHyOWRs0/HeQPntM7cubUusepVbpS2xhFpLhluSDlz/RXk9WqQZX23FV9fmOP49V5oTUwdfEbEK3AC8NzPXM3MN+M6IeBrwZOB7gC+MiK/LzL88nOVKkiTpONs+TH5I05Rh8nWzRtYXaXKDbEZAXdoT2SncmrRb4vaB8ttnbnVtiVZuSbrCqq3dEYfNIgVf/cH8Bl+aX3sGXxHxUOAngI+mNOzWEfFi4Dsy82WZ+YqI+Cjg64EfAZ4fEb8BfGtmvucQ1y5JkqQFtNmS2LUlNhvUzQWa+mJv3lYNOWznaWX/zkDXjti0t4/aeVsJBFVUW7slxmliaWXCQHlnbkmaD0tV+V6UwGihWh0HbLU6JizS2nWi7Bp8RcRDgBcBZ4AGeBdwJ+Am4IUR8TGZ+fLMTMq8rz8Afhb4cuC/RsS3ZuavH+L6JUmSNGdK1dZoa5h8DqnrNZrm4vQtidSQzeY8rqRpw62G6NoRGVDFElV1poRbsUpVdVVby2245W6JkuZdG3xlMqoXqOKL6LU61lZ8aW7tVfH1g5TQ6+nA12fmrRFxHfDzlJ0dnwB8RndwZr4N+PyI+EzgfwO/GhFfnpmfdCirlyRJ0pHoV21lM2p3SVyjaS7QNGslsGpGwJBsxqq2YKwlsbl03hYVEQMGMSBilapaLTO3qhWiGhAsQ7W0ORRakhbVUrurYy7qcHvqrfBLmkN7BV8fDYyAr8nMCwBt+PW1wBe2t18iM58dEX8B/BDwDQe4XkmSJF0BW7O2RtuqtrpdEhs2oOl2SNxpl8Rm2w6J3VD5SS2JgzhDLHU7JS4Tm8PkB4Zbko61qpvxRVI3C1Q11Q23b5zxpfm2V/C1CgyBi2PXX2yvX9npjpl5HviWdt6XJEmS5kzTtho2zYgmN2i6qq3NWVulHXF/VVvZtiQOqKioYpmquqqEW7HSa0nsdkq0JVHSyVSxFXwNF6riqx1u3+3quEhr14myV/D1KuBDgf8G/ELv+q8DTgEv3+sJMnPPYyRJknTwMpvtc7aaIU1zod0hcY0mN6AplVjZDCfvkLht1lazS9XWgCpOl3ZEVohqmaiW2pZEq7YkaSeD3nD7ZpFmfMWg3dWxYXNnR2kO7RV8/QTwW8D/joivBF4P3A/4MMrX5U8e7vIkSZK0kxJstVVbOSRztGM74uYw+W0PADAqwVYbaCXN5FlbVES1QhXLO1RtuUuiJO1HVZVZWUlDk0mTDdUifD+N8lOihF4Ot9f82jX4ysynR8RdKUPuP7w9AZwHHpeZv33I65MkSTqxJu+OuE6TF2nqNepch2bYBlXd7oc7tSPWW/O2qKFp2h0Sq7YdcdAOkz916awtlqzakqRDUkVFEGUsYtY0TVItwrfbqErVV2ZbrrZA1Wo6Ufaq+CIz/1dE/ArwcOBOwHuAv8nM2w97cZIkScdZZpKMaJqtqq0yZ6sEW9vnbJVdEicGW3u0I8ZmO2JFFadK5da2HRKXelVbztqSpCtps9UxG2pKxRcsQvIFVFUJvbKBZnjUq5Em2jP4AmhDrj875LVsiogPBH6WErbdAvwy8AN5yXZBl9zvw4AfobRiQplB9j2Z+Xdjx302ZcfJ9wPe0D727xzk+yBJkrRzsLVG054yS6AFdRtsTZqz1d8dsSnD5LMh2raS3dsRu90RbUeUpHkUtEPiSZomqesalpaPelnTia3B/NQGX5pPUwVfV1JEXA88nzJY/7MpM8V+EqiA793lfvdq7/dy4Mvaq78d+POI+ODMfHN73EcDzwR+Hvhm4NOB346Is5l5xcI9SZK0+PYKtrJZKzO4dg22EjbbEEvA1bQVXJN3R1yiqs4Q1TIVK1SDZYhu1pbtiJK0aAZtpW0CDUm9e73HfIk2UnBXR82xuQu+KDtGngYelZm3UYKra4HHR8SPtddN8l+Ba4DPzcxbASLib4B3U8Kt/9Me933AizLzm9u3/zIiHgQ8jitY1SZJkuZff8bW5qytywm2aC4ZIA+51YbIoA22TpfKrc05W207YrVksCVJx0xEbFbjZiZNs0BD4ts2TTKh2TjatUg7mMfg65HA88YCrqcDTwQ+Dnj2DvdbBkaUwfudc+11ARARq8DHUyq9+p4O/GpEXNeFZpIk6fgrwdawtzPiaJcZWwcTbG0fIL9MVMtEtbQZbEHlnC1JOkEGEeUFazZlt956gSqnqi5SSCu+NLfmMfh6IPAX/Ssy898j4kJ7207B1zOBJwA/GRE/3F73OOAs8Iz27ftRArLXjN331ZRWygcAL73cd0CSJM2HzKYXapWqrf6uiE2ulzAra8rw+Hr3GVuXG2xttiMabEmSiogy46vJ0urYjP8cmmddFbLD7TXH5jH4up4y0H7c2fa2iTLzrRHx8cBz2KroehvwqZn5rt5jM+Hxz47dvqNM2BjWLG24VaskSUetDHvvVWw1I5pmjTrXS7DFEJphOzurBFy774rYlPPejC02Z2xVm7O2BrFKNVgtQ+SrpR2Drc2XLttew2R7kiQJRqOkHgVNk2wMG85fWOP08oK0DY4Shg2sj+D8Bbh48ahXJF1iHoOvfYmIu1Mqu/4B+Jr26m8A/jgiPioz//0yHvuxwGMB7nLHay53qZIkaQrd4HiyDI8v87WGNFmCrazXaHKjDay64fCjSyOlbcFWPRZsNaW9hKo3Y2tAVZ1qZ2wtb5+xZcWWJOmAbbY6kmXG1yINt6ebO9lQpgxJ82ceg6+zwHUTrr+ercqsSb6d0sb4+Zk5BIiIvwD+Dfg2ShVYd//xx+8qvSY+fmY+GXgywANuvKt/opUk6QBkNiWo2hweX5f5WnmRptkow+OztB9CQ2ZbubXtQWCrDXGrSqtrSYzNGKwqlVpURLVEFf1dEZcguhlb7oooSbqyqioIKqCmyYamWaCXnJutjkBj8KX5NI/B12sos7w2RcS9gDNcOpur74HAv3ShF0BmbkTEv1BmewG8Hhi2x75w7L4N8Nq9FhcBK8sDVlfm8UMnSdL8aC5pQxyWNsRmnaZpq7W6NkSG7XytrV/22/2toGqrtKKGplRrJeVy0AAVUVWbc7YiuhbEVapYoaraYGuzWstgS5I0P6rBEoNlyFEyGAQry8HpUytHvazpnDkFyxUsRzk/ffqoVyRdYqb0JiK+HPidzFw/pPUAPBf49oi4JjNvb697NHCR7WHVuDcDnx4RK5m50a53Ffgg2oH4mbkeEX8JfAHwi737Php4iTs6SpI0na5a69LdEEuolc0aTQ7bQfCztSE2Y/O1tgbHV0QsUcXpUq21tEpVrZQ2xBhALLXBVnXlPyCSJO3TIALaGuUkGS3U7ojdH5PS4faaW7OWLT0V+OmI+A3glzLzXw5+SfwCpS3x9yPiicD7Ao8Hfiozb+sOiojXAS/MzK9ur/plymyvP4iInweCMuPr7rRtiq0fBG6OiCcBfwh8env6tEN4XyRJWkjNZgvibtVae+2GCJuh1mb4dWkbYrRtiBUVVSxRVae35mtt7ojYD7acryVJOk6Cqgq6zU9G9QIFX1V/V8cFWrdOlFmDrwuUeVjfBHxTRPwNJVT63YOqAsvMsxHxicDPUSq1bgF+mhJ+9S2xFS+Tmf8QEZ8GfD/wG+3VrwA+OTP/b++4F0fE5wM/BHw98EbgizPzzw5i/ZIkzbvMphdsDct5s07drLXVWuv7qNbamq3VDZovwVZFFVttiFWsErFMLI21ITJwvpYk6YQKBpTgK2kWLPhqI4VMZ3xpbs0afN0d+BJKZdVDgUcAHwU8qa0Ce3JmvupyF9U+xifsccyNE657AfCCKR7/DynVXpIkHSuZ2avU6nZC3KDJtlKrXqdhUrXWWKy1W7VWNkQ7ZD56uyFGLDGIU8TSKsEyVbVsG6IkSXuICGgrvrJJhvUCBUjVoPRadSMKsgF/1mvOzBR8tTO3fgH4hYh4KPBY4Is45CowSZJUbB8YP2p3Pyw7IJYWxPUSZOUIaCu1xndChD1na+1arVWV4fFVtVzCLAbtX3wr2xAlSdqHii4sWrDgK6INurJUfRl8aQ7te2vCzHw58HUR8T8p4dfXAh/BIVWBSZJ03GXWl7Yg1hvUeZGmWW8Hxo+mbEHcaj3c2gmxm63VADHFbK3B2Gwtf5GVJOkwDKp2L+NM6kUKvqhoS7625nxV+44ZpENx2Z+RmXkBeArwlIj4IEoA9qVcWgX2fyhVYIv0VSxJ0oHoz9WavAtiO1erDbO2Wgtna0EkG4Is00I2d0Ic9HZCXCb6s7Vi0IZaztaSJOnItBXTCYu1q2O0wVez9XuING8OOop9E/Bq4C3AHSjRL2xVgf1wRPzPzPyDA35eSZKOTGazfQfEHJVdEHOtN1drODZXq9lhF8R2RgZNG5JlG3B11+fYXK2KiNJ6GNUyFSvEoJ2tRanUcidESZLm29JmVXWzeMHXZqtj97uKNF8OJPiKiI+gzPv6QuAqSuC1DjyjPX0K8GXAfYDfi4gvzMxnHsRzS5J0mLaHWqM21NpoQ631Xqg1bGdpdcPi95qr1dsFkRqaZqsFMQZEaUCc3ILowHhJko6VarPVEUbN8IhXM4OoesPtrfjSfNp38BUR11LCrK8FPri7Gngd8IvAr2bme9vrnx0R3w38DPAVwHcBBl+SpCO1c6i13oZaaxMqtaYItdpZWhNDrd5crYglqjhFNVgmWKGqVnqhli2IkiSdFNXmz/tkNFqgqqmI8jsLGHxpbs0cfEXER1HCri8ATlPCrhHwLOAXMvP5k+6XmbdHxH+jVIV9wL5XLEnSFGYPtabcAXHisPgyh2t7C+Kg7II4aa4WA6gMtSRJUlG1IwmaTOpFahfcDL3KOAYWqU1TJ8ZMwVdEvAL4wO5N4D+BXwJ+OTPfttf9M3MjIt4F3GvWhUqS1Jk8KL4LtdZo6g0aNtpQa4b2w5lCrTIsPpaWqTZDrXYXxGoJqJyrJUmSplJ1YwsyGTULtB9cRGl3zNqKL82tWSu+HkQZvfs84BeA5+TEP43v6qcpg+8lSbpEZr2tSis3dz8sc7Vy26D4Iwi1HBYvSZIO2KDq5nUmo3qBwqOoSvi1OePLii/Nn1mDrycCv5iZb9rvE2bm/9rvfSVJi6vbnbAfaGWOqOv1zfbDbNZpcqMd/j4qw9+zJtuAavsDTjko3lBLkiTNuUFv/EG9SO2C3a6OmVZ8aW7NFHxl5ncd1kIkSYsrM7cHWoxommGZpdWdcr2EWU1dwqmdQq0E6P5i2JT5W23F1lao1a/U6gbF7zRTy1BLkiTNt+h2dSSpm4bMXJDfWaI9tcHXIoV2OjFmnfH1BuCdmfmRUx7/V8A9MvN++1mcJOnoTZ6nNZwwJL5Uc5Wwqq3WuvTBKFVa2Qu/ussl7CqhVqnSCqryr939kMEyFStU1XK78+HWoHhnakmSpEU1aH/vyczyuxbJgAX4vSYqoGt1dLi95tOsrY43AqdmOP6ewL1nfA5J0hWwU+thU29Q51rberjRth7WWzsf7jpPq2mrs7oWxPbYzdL37LUell/wolpu2w9XCJY3Q62IfpWWux9KkqTjq6q2hts3mTR1Mpj11fpRiCh/gEza4GuBBvPrxDjsL6UlmPTqSJJ0mLKdkbUVaNXUOSSbtbb1sB0Un/XerYew55D4EmglwWAr1IqKiFWqWC7hFuU8qq71cAmiMtSSJEkn3qDd1bGMj0jqpmaZBfkdafN3uQaa4ZEuRZrk0IKviDgN3AW4/bCeQ5JOmn6V1lawVbe7HrZztOoNGjZ6ux52x0+q0tql9bANuKYbEr/cm6e11FZqleMlSZK0u4go1VO0FV+LtDti1QVf6a6Omku7Bl8RcW9Ke2PfSkR8DOzYcBzAHYAvAZaBV1zeEiXpZNi9SmtjtgHxsHuV1m6th7FEVZ26pPXQeVqSJEmHo2qHxCeU4GuRZmV1FV+ZMNo42rVIE+xV8fWVwOPGrrseuHmKx263duAXZ1+WJB0fpYKqrczabZYWwxmqtLbP0rp018PxKq32PFaJHVsPnaclSZJ0FKoqqCKApvxGt0iVU1UbK2RjxZfm0jStjv0/6Sc7V3r1j7kNeCXwC5n5W/tcmyTNvUvCrG07Hm6Uaq3cOJhZWhOqtKKt0tq+6+Eysa31sB9qWaUlSZI0b6ruZXaWP5o29QKNyu4N5qex4kvzZ9fgKzN/APiB7u2IaIC3Z+Y9DnthknSUtrcddjsfDjfbDUuotU6Tw83dC2FENs0eOx7OMktrlyotdz2UJEk6Nqp2xleTSUNDvVCtjl2skO2mR9J8mXW4/a8DtxzCOiTpisg2pErGQq0p2g5LFdb4A0IJtEqAlW2Jd2k73F6lVe0xS6u8bZWWJEnSSVPaHKP9g2q2f1RdEJszvtzVUfNppuArMx9zSOuQpMuy4xytZoO62SBzjabuAq02yGoDq/21HZZda8oI0oogyk6HVO2Oh6tELG1VaQ3aKi2q8lexGLjjoSRJkoAy4yvadscmk7qZ8LvpvKp6w+2b0dGuRZpgpuArIl5Lqfr6zcx806GsSJJ6unbArRla9Wag1bUcNs06OfMcra2B8NvaDtsKrZ3aDiNWqfZoO3THQ0mSJM2iijb4aiu+mkWq+OoPt7fVUXNo1lbH+1Nmfj0+Iv6aEoI9IzNvO/CVSTrWStDUkDncVqU13WD46edo0T3P5m6HSRkOX1oIKwalWqtaporTJchiaYfh8JVVWpIkSTpwg4jNbeSaTLJZoOH2m78fJ9S2Omr+zBp8/RDwJcB9gY8BPhr4mYh4FvCbwHOzDMSRdIJ1VVk773S4QZNrJdBqh8hDvctg+KSr0CpztLbaD0sLYg1toFVRQVuhRbvbYcSp0mrIElWsUFWDCXO0DLQkSZJ0NKooHQPZ/k47WqQAqVpuLySkrY6aP7PO+Hoc8LiIeATw5cAXAHcAvrA9vSsifgv4jcz8xwNeq6QjNF6htVOglblO0w2CnznQ2nkwfNdyGHRth0tljla1TCwtt+2HS2NztCp3O5QkSdICiM1RGUkyqhdpxlf7B+RsnPGluTRrxRcAmfnXwF9HxDcBn0EJwR4J3AX4H8D/iIhXUVohn5aZbz2g9Uo6YNtnaO3UcrhOk+vbWw5nDrT6g+F3C7T6g+GXqFjZCrSiX6FloCVJkqTjoYzgCKD8jrxebxz1kqbXzfhqsnRiZILzbjVH9hV8dTJzA/h94Pcj4gbg/wG+DHgY8CDgR4EfBlYuc52SZtTf5bCrzsqstw2FL4HWLDO0Zgy0Ltnp8BTRVmY5GF6SJEnaUrWVU9kkTb1IQ+KrNujqvR7wj9SaI5cVfPVl5nuBnwd+PiI+EHgq8GGAn/HSAcps2t0Kt8KsbpfDutkgc42m3qBh2P7FZZpdDi+n5bALtJbc6VCSJEnap2rzd+VkY5FaBiPa4Cvb1w01xgCaJwcWfAFExEdQKr4eDdzxIB9bOu4ym802w81gqxnRtFVZTbNONkMaNkp1VtaUsGq3QGt8l8OuQmvaQKvfcmigJUmSJB2Wqq2Sykzq0SIFX2VTqfLH9Db8kubIZQdfEXEf4Espgdf7dVcDG8BzKHO+pBNra4fDmswhTTdHq52btbXL4XCzzRDaYCvrSXFWL9DqAqyabKu2khqaEmb1dzksrYdjQ+FjmYoSbEW1fZdDAy1JkiTpyql6w+2HzQK1Okbb6phZXocs0tp1Iuwr+IqIaym7OH4Z8AhK0NW9Qn4JJez6ncy85QDWKM2d/vysfpVWmZ+10YZZa1vzs9r2RBjtMhAeyjDLuhdoNb15Ww00DUEDRBtilfqsLtCKOFVCrIm7HDoUXpIkSZpXVbS7I5KMFmnG12bwtfXHeWmezBR8RcRnUMKuzwRW2Qq73gj8BvAbmfn6A12hdAXt1G6YzZA612matbbd8DLmZ7UB1tZA+ISsCZKtQKtrN6xKVVa0bYYslberpbaKq7/LYXXpc0uSJElaCFW11eo4WqSqqajadsduxpfBl+bLrBVfz4L21TncCjwD+PXMfPFBL0w6KNnOt8rcvsNh0wxpsp2blZfTbjjl/CyiDbQGpVIrVtsdDvsD4Utl1lagVRloSZIkSSfAZqtjwqhetBlfsfX6JxcotNOJMGvwVQN/SmllfFZmrh/8kqTplN0NR2WGFuO7G66TuU5Tb5AMS4DVtNVZ1JfdbljCrGxbCCfMz9ppIDwDqJyfJUmSJGm7QfsH76ShXqjwKIAKesUA0jyZNfi6R2a+61BWIrF9dtZmqDVVddZeuxuOtRtuVmfV26qzdm83XIKuOiuWSymy87MkSZIkHYBB2+pIQr1wrY5RCgQyHW6vuTNT8GXopf0qQ+DrHWdnddVZk2dn7VCdBW2QNV6dNXl3wy7MKuPgKyIGVHGqrc6y3VCSJEnS0Yltw+0XrNWx29XRii/NoX3t6ihB12rYhli9UGv7zoYbJdTK0WbL4CyzsyZXZ+0yDJ4o7YbVKWiHwW/tbrh9GLzthpIkSZLmxVI33J5cwIqv/nD7BVq7ToQdg6+I+JX24tsy83vGrptFZuZX72dxuvImD4Kvy06HzTpNrtM0w9Jq2FZnZdbs3WoI087O2n91VuXuhpIkSZIWUvmjfGwGX5m5GH+o715/bRYwWPGl+bJbxddjKCnEvwLfM3bdNF993XEJGHwdsW1thru0Gs40CB6m3tlwmtlZVmdJkiRJOqmqKB0sZFf11bA0WIAZwhFlA69SwwDNArVp6kTYLfj6dcqn7dsmXKc5sNuuhluthutlGHy2lVZtddbltxo2BA1bYVapzWKPnQ23D4N3dpYkSZIkAQyq9rVRkzTZ0GQNLEDwBW2xAqXNsR4e7VqkMTsGX5n5mGmu08Gafm7WRjs3a9pdDeHyWg2jDbPaEIsSZFXVUgmwtg2CX5BvzpIkSZI0J6oIiCBpaLJUfC2Mqvca0IovzRmH218Bl4ZZXWXWkCbXyWZYqrKaDZocXnaYVdoOt7caQlPCLFsNJUmSJGnuVO3rrQSaTJpFGnDfVaZlA40VX5ovMwVfEfHlwMXMfMaUxz8KuDozf30/i5tnW2HW1gD4bWFWDvcYAj/N3Kzt4dVUc7PaXQ0jTrUB1jIVA1sNJUmSJGmOxebuiAsYfHUVX5lWfGnuzFrx9VTKzK+pgi/gJ4F7UWaDHQuZQ85vvI6Nc2eh6Sqt6hnCrJ2GwCdkPRZmTTM3y10NJUmSJGnRVQFt7EVm0jQLNF57s9UxnfGlubOfVsdZ+92OVX9cMqIZ3UI9XJoQZuWEIfD9MCvaeVhdy+GAKlbaMGu5DbOW2sos52ZJkiRJ0kmxOeMrs+zqmAtU8RX9VkcrvjRfDnvG17XAxiE/xxUV2UB9K81GSd9L22C1fX7WrkPgK+dmSZIkSZK2GVAB0YZetjpKB+XQgq+IeDhwPfCGw3qOoxAEp+I6llbvQ1WNz8wyzJIkSZIkza7qJtZkAg31QgVfXbRgxZfmz67BV0R8BfAVY1ffEBF/sdvdgDsAD6JsSPGCy1ngvAmCKk6xtHL9US9FkiRJknRMVF2HECOaTLLZYX70PAorvjS/9qr4uhG4aey6lQnX7eRfgcfPsiBJkiRJkk6aiCgDsrPs6rhQM76q3oyvdLi95stewdfNY29/P3COslvjThrgNuCVwM2Zi/TVKkmSJEnSlbfUDbcn210dF6jia7PVMWGRWjR1IuwafGXmC4EXdm9HxPcD5zLzBw57YZIkSZIknRQR/XnRuVgzvmgHlGVCbcWX5susw+3vCyzSV58kSZIkSXMvIqgigCSBjdECzcrqKr7Sii/Nn5mCr8x882EtRJIkSZKkkyyiorQLNowWaUh8NSjb3GWzdYpqz7tJV4KfiZIkSZIkzYGqbXVMkuEitQxG1QZdCTRWfWmu7FjxFRFvaC++LjM/Zey6WWRm3m8/i5MkSZIk6aQYdLsjkowWqdUxKiDaaq8s59Kc2K3V8cb2fG3CdbPIfdxHkiRJkqQTZXO0fcJokXZ1JMopE7IuJ2lO7BZ8fWV7fuuE6yRJkiRJ0gEaVGUaUdIwrBeo4quqyom04ktzZ8fgKzN/bZrrJEmSJEnS5YtoWx0T6oWak9VvdXTGl+aLw+0lSZIkSZoD24fbL1DFVzfcvqv2suJLc8TgS5IkSZKkOVB1rY6ZNIs046sbbk9j8KW5M1PwFREPiojfj4gfmuLYH22PfeD+lydJkiRJ0smwFN2Mr2S0cBVf0av4stVR82PWiq8vAz4beNMUx76jPfZLZ3wOSZIkSZJOnEHVzfhK6lyk4Cu2Wh1xuL3my6zB1ye158+Z4tinU2odP2XG55AkSZIk6cSJ2HqJXi9aq2MEm6GXw+01R2YNvu4NnMvMt+91YGa+DTgH3Gs/C5MkSZIk6SQZbLY6NozqBQqPnPGlOTZr8HUtMEu95Qi4fsbnkCRJkiTpxCnD7YMEmqxpFiVAigrodnVMaBaoTVPH3qzB17uBO0TEHfc6sD3mOuDsfhYmSZIkSdJJUkVFENAkzaLt7FgNIGlbHQ2+ND9mDb5e2p4/Zopjv5JS6/gPMz6HJEmSJEknTtW2DGYmDblYc766wfwkNMMjXYrUN2vw9duUMOsHI+JTdzooIj4NeAIl733a/pcnSZIkSdLJUEWUV9xkCb8WaUh8N5g/G6it+NL8WJrx+GcA3wB8DPDHEfHHlB0e39zefh/gM4FPp4RqL8rM3z6gtUqSJEmSdGxVEXQzvupM6kUKvqo2XnDGl+bMTMFXZmZEPAr4I+CjgM9oT+MCeDHweZe9QkmSJEmSToBS8VV2R8xsaHKBgq+w1VHzadZWRzLzPcDHAV8LvISyc2O0pxHwN8BXAR/fHjuziPjAiHhBRFyIiLdGxBMiNr+K9rrvoyLipRFxMSLeExF/GhFXjR3z2RHxiohYi4hXRcSj97NOSZIkSZIOShWx+SI9kwUbbt9VfDWQVnxpfsza6ghAZtbAU4CntIHUHSnzvN7b3rZvEXE98HzgVcBnA/cDfpIS0n3vHvf9GuDngB8Dvh24HvgEeu9nRHw08Ezg54FvprRl/nZEnM3MP7uctUuSJEmStF+l4qsqOzrSLFarY79WZWTFl+bHvoKvvjboeucBrKXzdcBp4FGZeRvw5xFxLfD4iPix9rpLRMSdgJ8Gvikzf6l30x+MHfp9lNlj39y+/ZcR8SDgcYDBlyRJkiTpSAwiyoXMEn4tUsXX5nD7GligwE7H3sytjlfAI4HnjQVcT6eEYR+3y/2+sD3/tZ0OiIhV4OOB3x276enAwyPiutmXK0mSJEnS5Ysq6JodM5N6kWZ8bbY64owvzZWZKr4i4mP38ySZ+aIZDn8g8Bdj9//3iLjQ3vbsHe73MOBfga+OiO8B7gq8HPiWzPyb9pj7AcvAa8bu+2pKCPgA4KUzrFWSJEmSpAOxVfHV0JDkIrU6Vm2rYzZQO+NL82PWVsebKfntLHLG57keuGXC9Wfb23ZyN+D9KXPAvgN4T3v+pxHxfpn5jt79xx//bO+5d9UkbIyA4QKVnEqSJEmS5t6oTpo6qEcw3Gi4cHGDi2sbR72s6WxQXidvjODiGly8eNQrkoD9tTrGjKcr1U4ZwNXAV2fm0zLzT4HPoTQXf+NlPXDEYyPiZRHxslvPW7IpSZIkSTp4VVvxle2/epFmZXUVX6StjporM4VSmVntdgLuAHwq8EJKxdXHtdfP4iwwadbW9WxVZu10v6RUpXXrvQ34B+ADe8cw4fGvH7t9m8x8cmZ+WGZ+2HVXLe+6eEmSJEmS9iOioqqC8tI2GY0WqGWwC76ahFygdevYu+xdHft6uzA+H/hD4FkR8dDMfOMMD/MayiyvTRFxL+AMl87m6ns1W1Vm2+4OdH2JrweG7eO/sHfMA9tjXrvX4qqAlSVYWZ7HfQEkSZIkSYtseSkYNclgANUgOH1q5aiXNJ16FVYqWA5YruDUKYjxl+fSlXco6U1mJmW+1nXA98149+cCnxoR1/SuezRwke1h1bjntOcf313R7tL4X4D/265rHfhL4AvG7vto4CWZeeuMa5UkSZIk6cBE1e3q2DBcpIqvqNisO8mERdqRUsfaoZUtZea/ArcBnzzjXX8BWAd+PyI+KSIeCzwe+Km2ogyAiHhdRDyl93wvA/4IeEpEfEVE/FfgWZQKr//de/wfBG6KiCdFxE0R8WPApwNPmPmdlCRJkiTpAFUMNi/XC9UyWLXhV5adHdMN4TQfDi34iohl4DRw51nul5lngU8EBsCzgR8Afhr4/rFDl9pj+r6U0mL5U8DvUUKvT2gfs3v8FwOfD3wS8Dzgs4Avzsw/m2WdkiRJkiQdtGqz4isZDhdoSHy0k4eaNvRqrPjSfDjQGV9jPgdYBv5z1jtm5quAT9jjmBsnXHcO+Pr2tNt9/5ASkEmSJEmSNDe6sVhJw4gFqpqKQa/iK6340tw40OArIlaAewGfB3w3ZSuK5x7kc0iSJEmSdFwtxVZj07BeoFbHiDLiq5vv5YwvzYmZgq+ImOUzN4C3UFoVJUmSJEnSHqIt+cpMmnqBwqOoStUXyeacL2kOzDrjK6Y8rQG/CXxkZr71wFYrSZIkSdIxNqjaiq+EUbNIFV9tvNANtjf40pyYtdXx4/e4fQScBV6buVDbT0iSJEmSdOQ2K75oGC1Uq2NFqa2pHW6vuTJT8JWZLzyshUiSJEmSdNIN2hlfmVA3ecSrmUFUUAWMrPjSfJm11VGSJEmSJB2SQdVu60guVqtjN/mo29HR4faaEwZfkiRJkiTNiSq6xqykXqR2wajadsfcCr+kObBjq2NEfPlBPUlm/vpBPZYkSZIkScdV1Q6JT5KmqcnMzblfcy0qSsVX44wvzZXdZnw9lbIP6eVKwOBLkiRJkqQ9DAYlQMqEOhuabDbnfs21CKgGJQHIhIVq09Rxtlvw9e/sHHzdGTjTXh4B72kv37H3mOeBd1/uAiVJkiRJOimqCIKAJmkyqZuGQbUAwRfAZkDXQD080qVInR1nfGXmjZl53/ET8ERgGXgx8KnANZl598y8O3B1e91ftcc8sb2PJEmSJEnaQxVlSHzSkFnaHRfGZkCXkFZ8aT7MNNw+Ij4B+Dng2cBNmfnnmbne3Z6ZG5n558BN7TE/FxE3HdhqJUmSJEk6xqqoygaJQJNJs0i7I3YVX5lWfGluzLqr47dSvgS/JXPnLRoyM9tjK+Db9r88SZIkSZJOjoqAqEigYcEqvtrB/GW4vRVfmg+zBl8fBtySmf+x14GZ+e/ALcCH72NdkiRJkiSdOBHRFnw1mzO+FsagHfntcHvNkd2G209yDTCIiJXM3NjtwIhYAa4CFiieliRJkiTp6Ay64fbt7ojNIgVf9GZ8NbY6aj7MWvH1RkpY9uVTHPvllAH3b5x1UZIkSZIknURVBESUai+axWp17Ibb2+qoOTJr8PXblBlfPxMRX7HTQRHx5cDPUDLq397/8iRJkiRJOjmqquzqCElmUi/ScPuqayqz1VHzY9ZWx58AHgU8BPiViPgB4GbgLe3t7wN8HHBvylfqP7X3kSRJkiRJe6g2Wx0bMhdsuH1X8dVY8aX5MVPwlZlrEfGJwFOAz6EEXF82dli78SrPAr4qM9cud5GSJEmSJJ0Eg83h9izecPvoz/gy+NJ8mLXii8w8CzwqIj4c+H8oOz3epb35ncDLgN/JzL8/sFVKkiRJknQCdDO+ADKTXKTgq3K4vebPzMFXJzNfCrz0ANciSZIkSdKJVkUFUZHtv3qRKqe6GV/ZwCK1aOpYm3W4vSRJkiRJOiSx2erYkMDGaIGCr67VMSmtjplHuhwJLqPiCyAirgEeyvZWx5dn5u2XuzBJkiRJkk6iQdXWqGSzWBVfMWg3pKxL6JVNb+6XdDT2FXxFxAcDPww8kkurxpqI+GPg+zLzFZe5PkmSJEmSTpTozfga1osUfAVEF9rVJfjC4EtHa+ZWx4h4FPB3wH+lfAbH2GkAfCbwdxHxuQe3VEmSJEmSjr9BFx6RDBeq1bECog28soRf0hGbKfiKiPsCTwNOAW8G/jvwfsDp9vR+7XVvao95WnsfSZIkSZI0haptD2wSRou0q2M7mH+zzTEXaO06tmat+Pp2YBV4CfAhmfkLmfn6zFxvT6/PzF8APqQ9ZhX41oNdsiRJkiRJx1h0FxpGC9fqGFuhlzs7ag7MGnx9EmV/hq/LzHM7HZSZ54Gvo3y5fsr+lydJkiRJ0smy1BsIP8pFCr4GbbtjblV9SUds1uDrnsDt0wytb4+5rb2PJEmSJEmaQtXu6piZjOpFqppqR39nO9/LGV+aA7MGX0NgeZoDo2xDsdLeR5IkSZIkTaEffNWL1C7YDbenseJLc2PW4Ot1wKmI+NQpjv1UyoD71828KkmSJEmSTqhB+1I9SUbNIrU6Otxe82fW4OuPKPHtL0XEB+x0UER8IPBkyjywP9z36iRJkiRJOmEi2pfqmdSL1OoYlcPtNXeWZjz+ScDXUuZ2/WNEPAN4AfCW9vZ7Ap8IfD6lzfE/2/tIkiRJkqQpLA22XqrXi1Q11VV8keW0SGvXsTVT8JWZt0XEpwHPBm4Evrg9jQvgjcBnZebtl7tISZIkSZJOiq3WrGRUL1KrY5TzbBxur7kxa6sjmfkvwIcA3wX8E9CwuXUDTXvd/wc8uD1WkiRJkiRNqRtu32RSZ0NmHvGKphQVVIPNgi9bHTUPZm11BCAzzwFPBJ4YEcvADe1N781Md3GUJEmSJGmfBlUFlCHxTTY02TCIwVEvazqb88kaqDeOdi0SM1Z8RcQbI+L1EXH/7rrMHGbmO9qToZckSZIkSZchIgiCzCQzqRdqZ8euviZhkdatY2vWiq+7AxuZ+brDWIwkSZIkSSfdIKoyTIg2+KqbffZrHYGuMi0bgy/NhVlnfL2V9stPkiRJkiQdvIitl931olV8VV2rY0JjU5iO3qzB1/OBMxHxoYexGEmSJEmSTroqAqIiKYPtm2yOeknTq/qtjg6319GbNfj6UeA88HMRceYQ1iNJkiRJ0olWRVC1zVZNJrlIAVK/1dHh9poDs3YJj4D/Bvwi8MqI+Fngb4B3Ajt+JWbmv+97hZIkSZIknSCDtkYlM0mSeqEqvrrgy4ovzYdZg6839i5fBfzEFPfJfTyPJEmSJEknUlUBEWTT0GRDUy9Q8NVVfNE440tzYdZAaj+D7R2GL0mSJEnSlCIqupfSSdLkAlVORa/iKxdoKL+OrVmDr/seyiokSZIkSRIAgwiCgGxoMqmbBar4GrQxQyYs0m6UOrZmCr4y882HtRBJkiRJkgRVbLVOlV0dF6jii36ro8GXjt7UwVeUWssHAtcC783M1x7aqiRJkiRJOqGqqEr6VSdNQrNIQ+Idbq85U+11QEQsR8QTgfcCrwD+Gnh1RLwrIr4nIpzhJUmSJEnSARlUFRFBkkAyGi1Q5VTVa3WsHW6vozdNxdcfAp/GpUPq7wg8AXg/4DEHuipJkiRJkk6wYAAkmQ3DRaqcqgYlPcgGaMp57FlzIx2aXYOviPgC4JHtm68DngH8J3Aj8CXAPYAvi4hfzcwXHuI6JUmSJEk6MaquuSphWC9QxVdEG3RlCb0MvnTE9qr4+tL2/M+Az87M9e6GiPhh4C+AD6WEYAZfkiRJkiQdgC74SpJ6kVoGYwDtjpSbc76qmfbVkw7UXrHrQ4EEvqUfegFk5m3A/0cpYvzQw1meJEmSJEknT7VZJZVsLFLFF1FOmZB12/IoHZ29gq87AWuZ+eodbn9Z7zhJkiRJknQAuoqvJhvqRQq+ouq1Orbhl3SE9gq+VoFbd7oxM2/tHSdJkiRJkg5AVQ02L4+aBaqaiqrM+erme1nxpSPmhDlJkiRJkuZMRTfcPhkt0q6Om8PtKaHXIq1dx5LBlyRJkiRJc2bQVnwlSd0sUqtjN9y+ZnNnR+kITbO1wl0jYreINvc4JjPTLRwkSZIkSZpSVZU6lcxkVC9Q1VRE2+pIqfYy+NIRmyaQikNfhSRJkiRJ2jSILvhiwVod2xlfTUOp+FqgtetY2iv4+oErsgpJkiRJkrSp6uZkkdQLF3x1uzo63F5Hb9fgKzMNviRJkiRJusK2dnVMRvUCzfgi2lPjcHvNBYfbS5IkSZI0ZzZbHUnqRaqaigqoSo9mpsGXjpzBlyRJkiRJc6YMt6/IhLppFqfdMQKqqgy3z4RmeNQr0gln8CVJkiRJ0pypom0ZzIYkaRYl+AKouqlKDTSL1Kap48jgS5IkSZKkOVNFRQCZSZNJs3DtjgBp8KUjZ/AlSZIkSdKcqSLKjHhK+LUwrY6wVfHVNFDb6qijZfAlSZIkSdKcKa2OVWlzzGaxWh1ja0dKK7501Ay+JEmSJEmaM7FZ8ZU07YD7hVG1UUM2kFZ86WgZfEmSJEmSNGeWIqgIyCxzvhYp+IrlrcuLVKmmY8ngS5IkSZKkOVMqvoJMSqtjLlCAFL2Kr8aKLx0tgy9JkiRJkuZMmfEVZcYXuVgzvrrh9umMLx29uQy+IuIDI+IFEXEhIt4aEU+I2JyON839q4h4WURkRHzGhNs/OyJeERFrEfGqiHj0wb4HkiRJkiTtX1UFQQANsGCtjlX78j0bgy8dubkLviLieuD5QAKfDTwB+FbgB2Z4mK8B7rnD43808EzgL4FHAn8M/HZEfMplLFuSJEmSpAMzKJPtIaHOpF6kiq/+ro61wZeO1tJRL2CCrwNOA4/KzNuAP4+Ia4HHR8SPtdftqA3Ofhj4TuCXJxzyfcCLMvOb27f/MiIeBDwO+LODeickSZIkSdqvKqLM+QIyk8xFqvjqogZbHXX05q7ii1KF9byxgOvplDDs46a4/w8Cfw28YPyGiFgFPh743bGbng48PCKu29eKJUmSJEk6QFUEREVSdnWsF2m4fdVGDU0D6XB7Ha15rPh6IPAX/Ssy898j4kJ727N3umNEfAjwVcCH7HDI/YBl4DVj17+aEgI+AHjp/pYtSZIkSdLBqKqqbXZsSOAlb3g5r3zb6ygvXau2GqytCouqnQcWR7fgnlMbt3DV2X8nl99NvuOt1P/2cqAL8oKMgBiUc8rulVJVMfVs91nMY/B1PXDLhOvPtrft5meBn8vM10XEjTs8NhMe/+zY7TtqEjZGwHCBykwlSZIkSQsn6wH1CEbDmnfecjvvvOX2o17SVM7UF7nT2nvJuJ3R4BbgP496SVoAN1yzdI/DeNx5DL72JSL+H+D9gc88hMd+LPBYgLvccOqgH16SJEmSpEvc4fQdeNvGbVy48N5eLVd7aVuV1HxVTF3MhpXhkFN5ASg7112im1925ZalORdxOJ/I8xh8nQUmzdq6nq3KrG0iYhn4ceCJQBURdwCubW++KiKuyczbe/cff/yu0mvi42fmk4EnAzzg3tf6dSlJkiRJOnT3v9OduXZpibXhRUpE1J0A2i6kzaH38/VSNfJqsr7IoF1f1a49Mon2cpXdmudr7brCmhHRbHBYnwfzGHy9hjLLa1NE3As4w6WzuTpXAfcEfqo99T0deD1w//Z82D7+C3vHPJDyXeO1ey2uClhZgpXledwXQJIkSZJ0nNzzLnc86iVIh2rjljcTt73p0B5/HoOv5/L/b++uw6yq1geOfxc11BDS3YiFXFGREhWQkBSlbMyrXuuiXlvEQMVAsTAQpUVKLEAQBOva/rwGqJRBdwzC7N8fZxgnaRg4fD/Pc54zZ+2113r3mpnDmZe11oYb08zSAugGbCR9siqtdcTu1phWWWAEcCspm+VHUZQUQpgOnA08l6ZuN+CjKIpW751LkCRJkiRJUk47EBNfzwLXAGNDCA8C1YG7gUejKFqzrVIIYS4wI4qii6Mo2gK8n7aRNJvbfxtF0SdpDvUF3g8hPA6MB9qmPFrvg2uRJEmSJElSDjng1utFUbQSaA7kBt4A+gCPAXdlqJonpc6utj8LOAtoAbwLdAB6RlE0eQ/CliRJkiRJ0gHmQJzxRRRF/wNO20Gdqjs4Po9sbm0RRdF4YrO9JEmSJEmSFKcOuBlfkiRJkiRJ0t5g4kuSJEmSJElxycSXJEmSJEmS4pKJL0mSJEmSJMUlE1+SJEmSJEmKSya+JEmSJEmSFJdMfEmSJEmSJCkumfiSJEmSJElSXDLxJUmSJEmSpLhk4kuSJEmSJElxycSXJEmSJEmS4pKJL0mSJEmSJMUlE1+SJEmSJEmKSya+JEmSJEmSFJdMfEmSJEmSJCkumfiSJEmSJElSXDLxJUmSJEmSpLhk4kuSJEmSJElxycSXJEmSJEmS4pKJL0mSJEmSJMUlE1+SJEmSJEmKSya+JEmSJEmSFJdMfEmSJEmSJCkumfiSJEmSJElSXDLxJUmSJEmSpLhk4kuSJEmSJElxycSXJEmSJEmS4pKJL0mSJEmSJMUlE1+SJEmSJEmKSya+JEmSJEmSFJdMfEmSJEmSJCkumfiSJEmSJElSXDLxJUmSJEmSpLhk4kuSJEmSJElxycSXJEmSJEmS4pKJL0mSJEmSJMUlE1+SJEmSJEmKSya+JEmSJEmSFJdMfEmSJEmSJCkumfiSJEmSJElSXDLxJUmSJEmSpLhk4kuSJEmSJElxycSXJEmSJEmS4pKJL0mSJEmSJMUlE1+SJEmSJEmKSya+JEmSJEmSFJdMfEmSJEmSJCkumfiSJEmSJElSXDLxJUmSJEmSpLhk4kuSJEmSJElxycSXJEmSJEmS4pKJL0mSJEmSJMUlE1+SJEmSJEmKSya+JEmSJEmSFJdMfEmSJEmSJCkumfiSJEmSJElSXDLxJUmSJEmSpLhk4kuSJEmSJElxycSXJEmSJEmS4pKJL0mSJEmSJMUlE1+SJEmSJEmKSya+JEmSJEmSFJdMfEmSJEmSJCkumfiSJEmSJElSXDLxJUmSJEmSpLiUJ6cDiEchX2nyFT2CkKdgTociaVcl/8WWjX+wZf0vsHVjTkcjSZIkSdoDJr72ttyFKFCyPuXLlyMhXx5CCDkdkaSdFEURW7cms25DOZYtKcumZR+a/JIkSZKkg5hLHfeyvEWOoFSpUuRPyGvSSzrIhBDIkyc3xYoUpGTp8uQpVD2nQ5IkSZIk7QETX3tZ7nzFKJA/X06HIWkPFS6YQJ4C5XI6DEmSJEnSHjDxtbflykPu3A6rdLDLnTsX5Mqb02FIkiRJkvbAAZmhCSEcGUJ4L4SwIYTwewjhnhBC7h2cc0IIYXAIYW7KeT+GEO4KIeTPom7jEMInIYRNIYRfQwjX7MXoXeIoxQF/jyVJkiTp4HfAbW4fQigOTAX+B3QEagCPEEvS3b6dU7ul1H0QmAPUBfqmPHdJ035N4F1gEnALcCLwaAhhQxRFL+zt65EkSZIkSVLOOBBnfF0BFADOjKJoShRFzwJ9gBtCCEW2c16/KIpOjqLo+SiK3o+i6AngRuDMEEKVNPVuBH4Hzo2iaFoURf2AQcBdwSkeB6XLr7yeo+qetFvnzl+wkMTiFRk6fPRO1W/T7izatDtrt/rakziV3rbv20P9B+R0KJIkSZKkA9gBN+MLaAO8G0XRmjRlI4nN5GoGvJHVSVEULcui+MuU5/LA/DTtD4+iaEuG9v8JHA18u/uhZ++DHxfui2b3SNPDK+1S/XXr1jPgyWf44ouv+fzLr1m+fAW33Hw9t/7n31nWX7NmLX369mP8xLdYs2YNRx99JHfceiOnnXpyprpz5v7CbXf0Zdbsj2KxNWnEA/fdSfVqVXf5uvbUN99+x6Q33+G8c7pTqVKF/d7/we7+fo9wbN1jOKPt6TkdiiRJkiTpEHcgJr7qANPSFkRRtCCEsCHlWJaJr2w0BJKBnwFCCIWASsAPGep9n6bvfZL4Ali3aTPrkv7aV83vtMIJeSm8G3eeXL5iBf0eepzy5ctS79hjeG/ajGzrRlFE1x4X8vkXX3H1lZdRqWIFXh0+ii5dz+eN8SNo0rhhat0//viTVm3PJCFfPm65+QaiKOKpZ56n9RldmD1zMqVKlthuXAMHPERycvIuXw9A5UoVWfrHXPLm/XsT82++/Y4HHnyMU5o1zZT4mjB2+G71cyh54MHHOP+87ia+JEmSJEk57kBMfBUHVmVRvjLl2E4JIZQltifYq1EULUkpLpbynLH9lWn63q7kCDZvAf7KOtGSEEEUZS6PIli36S8Wr1m/oy72vSKFKJSQL8s4t6dM6dL8+N1nlCtXlt9++50jjjmRKJvrnTDxLWZ/+AnPDHyUc3p2BaBH97No0Lg5t97elxnT3kqt2/+xgaxatZqPZ79HrZrVAWjVsjkNGjfnscef5r6+d2w3rjx5YkmrXb2emEBCQv7056dpJ2ObefPm24O+sm4zLmXzc7HXmo/+ft7X/WzO5nddkiRJkrTnNv8VEbbsu52nDsQ9vvZYCCEfMBpYB1y/F9q7LITwWQjhs9Xr93zGVt1KpXPssScSEhIoV67sTtUdN34SxYoWpVvXM1PL8ufPz/nn9uDLr77hl1/npZaPn/Amp516cmrSC6B27Zo0O7kJY8dN3GFfV1x1PUcfm37vrCKHVeTqa3ozeco0mjRrRalyNTi2fmNGjxmXrt78BQspclhFhqXs8XV/v0f459U3ANCq7ZkUOawiRQ6ryAezPgSgbfuzaNs+/R5fTw58jlZtz6RarbqULFud+g2a8cSTzxLtQUbm44//S/tO3ShXqTblKtWmfadufPLp5+nqDBs+miKHVeT9GbP4z613U+PwepStWIsuXc/j519+zdTmL7/Oo9elV6XG2aBRc14eMixdnQ9mfUiRwyoyYtQYnhz4HEfVbUCpcjU4rWV7vvp6+5Mht40lwCtDR6aO3RVXxX4FFyxcxL9vuo3jG5xC2Yq1qFC5Dh06d+eTTz7L1NaEiW9yaot2VKxyBGUr1uLY+o25/t+37HDcHn7kCYocVpFHHhuYWvbSy0Np1LQl5SrVpkLlOpxw0qk88OCjO2xLkiRJknTwOxBnfK0EimZRXpy/Z2ZlK2WD+leAo4DGURSlPWdVynPG9rfN9Mqy/SiKBhHbAJ/alYscCvN19thX33xL3bpHkSdP+h+x+sfVA+Drr/+P6tWq8vvvf7BkydLU8ox1p02fwbJlyym5g+WOWfniy695+92p9LrwXM47tzuvvDqCy664lmOPOZrDD6+V5Tkd2rdh8eIlDB4yjJt6X0vNlGTc4bWzrg8w8JlBtGrZnI4d2pInTx6mv/8Bt991L6tWr+bO22/e5bhnf/gxHc/sSbmyZeh9wzUADH55KO06duWNcSM56aQT0tW/7Y57yJMnDzdcdzXLly/nmede5Iz2Z/PhrCkcVjz2oz1n7i+0aNWB4sWLcdU/L6VYsaJMmTqda66/mRUrV3LDdVena/PZ514iKSmJKy7rxZatWxjw5LOcc94lfPX5rHTLQtMqWaIEg54dwGVXXEvTJg0579zuAFSrWhWAL774ig8++IgO7dtQqWIFlq9YyStDR9KuUzdmvPcmRx5ZB4D3Z8zi/IuuoGmThtxx+03kzZuXefPmM2Xq9O2O251338eAJ5+l/0P3ctklFwIwdNgorrvhP7Rv15qLe51PFEXMmfMzH3386c5/QyRJkiRJB60DMfH1A7G9tlKFECoBBcm8N1dWHgc6Ai2jKEpXP4qi9SGEhRnbT/N6h+3nCpAvD+TLm/VkuRBij6zKCdkf31/2Vhzbzs2uncWLl3D8cfUyHStXNjbr7M/FfxICLF4SW4Vatmzp7Ov+uZhSpXac+Mp4/vc//MSHM99NTaic2akdRxzTgFeHjUxdPpl6Tsp1HHP0kZx4Yn0GDxlG89Oa0ajhiTvs66vPZlGwYIHU15dfeiFXXdObZ557kf/cdB0JCQnbjTOjW2+/h4IFCjBtykRKly4FwLk9z6b+iadwy+138/57b6bGDLApKYnZkydQoEAshqZNGtLxzJ488eSz9LkrNkvqpv/cQYkShzHr/XcoVKggAJdefD69LrmKh/oP4JJe51O0aJHU2FauXMWnH72X2matWjXoee4lTJs+k9atmmcZd+HCBenRrQuXXXEt1apVoUe3LumOt27VnM6d2qUru7jXudQ/8RSeGfQiAwc8DMC7k6eSWLgwE8eNIHfu3Kl1+/a5LdMYxp4jrv/3rbz8ynCeffoxenb/e0beW+9M5og6hzP81Re2P+jZCCH733VJkiRJ0l6QNxDy7Ls5RgfiX3RvA61CCIlpyroBG4Hsd1MHQgi3AFcD50ZRNGs77XcOIeROU9YNWAj8325HrXQ2btxEvgwJH4CE/Ampx9M+Z0wOpau7aeNuxdC4UYPUpBdA6dKlqF2rBvPmL9it9rKzLem1ZcsWVq5axbLlK2jauCHr129gzpyfd6mtxYuX8OVX39C925mpSS+AsmXL0K3rmXz+xdcsXZr+Bqa9Ljw3NUEFcNqpJ1OnTm3eeXcqACtXrWLa9Jl07tiOjZs2sWz5itRHyxansmHDRv772Rfp2jyn59np2mzSOLaUdN78+eyutO1t3LiR5StWkpwcUf+4enz11d/LKIsWLcL6DRuYPGX6DpeLbtmyhUsvv4ZXh41iyEtPp0t6xdoqym+//Z5pmagkSZIk6dBwIM74eha4BhgbQngQqA7cDTwaRdGabZVCCHOBGVEUXZzyuidwP/Ay8FsIIe2mTz9HUbQ05euHgXOAV0MIzwMnAJcD/4z2ZFMmpVOgQH42JyVlKk/alJR6PO1z0vbq5i+Q6djOqFSpYqayYsWKsnLlqt1qLzvvTn6Pfg8/zldffcuWLVvSHVu1ek02Z2Vt/oKFANSuVTPTsTopyzPnzV9AqVIlU8vT7o2Wtmza9JkA/Pzzr0RRxMOPPMHDjzyRZb8Zk2kZx654sWIAezR2mzdv5oEHH2PkqNdZ9Nvv6Y5VrVI59etLLr6ACRPfomuPCylduhQnN2lE2zYt6dTxjEzLLAc+/Txr167jxUFP0rHDGZn6vOG6q5g5czYtWnWkUsUKNGvWhPZntKZN6xaEnJx6KUmSJEnaLw64xFcURStDCM2BgcAbxPbleoxY8iutPEDaWVunpzxfmPJI6yJiCTGiKJobQmgNPEps9tefwL+jKNq9tVDKUtkypfnjz8WZyv9cHFvaWK5s2dR6EFvOmF3dsuXK7FYMuXNnPaFxb+Y3P/7kM7r2uIgTT6jPo/3vo3y5suTLl4+vvv6WO+++nyjK+TsCJifHYvjn5b1o07pllnWOqFM73evcufb+2N30n7sYPGQYl11yASc1OIFixYqSK1cuHnlsIL/++vdMslIlSzBrxjvMmDmbKe+9z/TpMxkzdgIDnnyWyW+PS7es9JRmTZg580MGPv08rU5vTtGiRdL1WbtWDT7/9H2mTpvBtGkzeW/aDIYOG8XpLU7ltVFDyJXNdUqSJEmS4sMBl/gCiKLof8BpO6hTNcPrC8mc8Mru3FlA1ps3aa849thjmDZtJlu2bEm3wf1/P/sSgLp1jwKgfPlylCpVks+/+DpTG599/iUVypej1G5sbL8ndmUm0PgJk8iXLy9vjB9B/vz5U8t/nbd7SwKrVK4EwE9z5mY69uNPc4D0s6MgtnF9q9ObZyrb1la1alUByJU7N6ee0nS34tobXh87kR7dz+LhB/umK7/3/v6Z6ubJk4fmpzWj+WnNAHjhxVe4vvetjJswiXN6nJ1ar96xx3DN1VfQ+axzOPPs85gwdjiFCxdK11aBAgVof0Zr2p/RmiiKuKvPAzw24Gk+/OgTmjRuuA+uVJIkSZJ0oHC6g/aJTh3OYNXq1YwcPTa1bNOmTQwdNpJj6x5NjerV0tWdNn0mc3/+JbXsx5/mMmPmbDpl2Ax9fyiUMqNo9U4sUwy5chFCYOvWv2d2bdq0iecGDd6tvsuUKc1x/ziWkaPGplt+uHjxEkaOGsvx9eulW+YIMHjIMDZu/HsftGnTZ/LDDz+lJsNKlSzBKc2a8OqrI1mwYFGmPpcuW75bsWanUKGCWY5dyBVSZ59tM/vDTzLtL7Z8Reabq25LlK5evTrTsZMaHM/oEYP59v++4+zuF6Qbi4xthRCoe0ysrV1dhipJkiRJOvgckDO+dOB6btBgVq9Zw5o1a4FY4uKh/gMA6N61C5Urx/aG6tihLQ1POpHr/30Lv/wyj4oVyjN0xGjmL1jExHHD07XZ+4arGTdhEu07dueqKy8liiIGPj2IUqVKcsO1V+7fCyQ2Wy2EwCOPDWTFypUk5MtHs5MbZ0o4AZzRpiVPPf087Tt3p0fXLqxdt47hI8eQP4vN+nfWfX3voEPnHpzWsgMXXtATgMEvD2NTUhL333tXpvoJ+fLRqm0Xunc7k6VLl/PMcy9StmwZrr3mn6l1Hu1/Py1bd6JR09M5//we1KxRjZUrV/Htt/9j0lvvsuzPXduEf3vqHXsM06bPZODTz1O2TGmqVKnECccfxxltWzF8xGsULlSIY445kh9/mssrr47giDq1Wbdufer5V1/Tm6VLl3NKs8ZUrFiB5ctX8NLgoRQqVJC2bU7Pss+mTRoxYuiLdOvZix7nXsKo4S+RkJBAx849KFmyBCc1OJ5y5cry22+/M+iFIZQpU5qmzvaSJEmSpLhn4isHfLNwSU6HsNueGPgcCxb+PWto5gcfMvODDwFoeNIJqYmvXLly8drIl7n7nn68/Mpw1q5dy1FH1mHMqCGc3LRxujbLly/Hu2+N5dbb7+H+fo8A0KRxQx647850dzbcX6pVrcLD/e7hyacGcdW/erN161beemN0lomvJo0b8vyzA+j/2EBuuf0eSpUswTk9z6ZRwwZ0PLPnbvXfpPFJTJowivse6J+6GX394+rxwqAnOanB8Znq33/vnbz9zhQefuRJ1q9fT+NGDXj4wb6UOKx4ap1aNavzwfS36ffwY7w+dgJLly6nRInDOLx2Te7ve8duxZmdRx66l+v+fSv33PsgGzduomePsznh+ON46IE+5E9IYOKktxk6fBRHHVmHV19+jtFjxjNr1kep53fveiavvDqSl18ZwcqVqyhRojgnnlCfm3tfl2mZZ1rNT2vGK4Of5dwLLuO8C69g2CuDuLjXeYx5fQLPPf8ya9aspXSpkrRu1YL/3HRdpv3AJEmSJEnxJ3gjw11Tp0qRaFCf1uQrVSfL4/nLtaFm9cx/nH/w40LWbdrMuqS/9nWIO1Q4IS+F8+ej6eGVcjoU7YGhw0fzz6tu4N23xtKooVvW7Qtzf1nApj/ezukwJEmSJClubV41n7BmHl1unb10ycotpfd2+8742o8K589H4fz5cjoMSZIkSZKkQ4KJr/3E2VWSJEmSJEn7l3d1lCRJkiRJUlwy8SUdpM7t2ZW1Kxe5v5ckSZIkSdkw8SVJkiRJkqS4ZOJLkiRJkiRJccnElyRJkiRJkuKSiS9JkiRJkiTFJRNfkiRJkiRJiksmviRJkiRJkhSXTHxJkiRJkiQpLpn4kiRJkiRJUlwy8aUD0v39HiGxeMXdPj+xeEXu7/fITtW9/MrrOaruSbvVz57GqfQSi1fkqmt653QYkiRJkqQ4kSenAzhULF7yaU6HkEmZ0ifu8jl//PEn9z/4KO+/P4s/Fy+mbJkynHpKU27qfS0VK5ZPV3fx4iXcdkdfJk+dzubNm6l/XD3uved2/lGv7t66hJ02f8FChg0fTYd2bTj66CP3e/8Hu6eeeYHixYvRs/tZOR2KJEmSJEk7zcTXfrRlywb+2rIhp8Mgb56C5MlTcJfPW716Dae2aM/GTZu4pNf5VKpUgR9/mstLg19lytTpfPrRNBITCwOwfv0G2nboytIlS/nXVZdTpEgig14cwhkdujJ96iQOr11zu33d1Ptabrjuqt26PoClf8wlT56/f7wXLFjIAw8+RvVqVTMlvgYOeIjk5OTd7utQ8PQzL1C9elUTX5IkSZKkg4qJr/3ory0b2LRpWU6HAflL7lbia8Ibb/Hb738wavhg2rZpmVpevWoVbrjxNqbP+IAO7doA8OLgV/npp7m8OXEUJzdtDMCZZ3bguONPpu99DzF0yKDt9pUnT550iatdlT9//p2umzdv3t3uR5IkSZIkHbjc4ysHFC9WJ8cee2Lt2nUAlC1bOl15mZTXBQsUSC0bN/4NjqhzeGrSC6BUyRJ07tSOd959jw0bNm63r6z2zjqq7km079Sdz7/4ihatOlGqXA3qHHUCTz6VOYmWdo+vocNH07Z9VwAuveJaEotXJLF4RYYOHw1kvcfX0OGj6dC5BzXrHMdhpatxTL1G3NXnAZKSkrYb9/Z8//2PdOvZi4pVjqR0+Zqc2rI9b78zNV2dD2Z9SGLxigwfOYaH+g+gzlEnUKpcDVq27swXX36dqc0lS5ZyzXU3U+uI+hxWuhrHHteY/o8OTDeDbf6ChSQWr8hD/QcwfOQYjjuxGSXKVKdBo+ZMmz5zh3EnFq/IgoWLeH/GrNSxa9MuNvNrxcqV3HZHXxo2aUn5ynUoU6EWzU/vmOm6AGZ+MJu27c+mcvWjKVWuBkce04BLLvsX69dvfxbk8JFjKFayCtf/+1aiKAJgwsQ3ObVFOypUPoIyFWpx7HGNue6GW3Z4LZIkSZKkQ4szvrTTmjQ+iRACvW++g/v73knllKWOd9/TjxNOOI5TmjUBIDk5mW//73vOPqtTpjbq16/H4CHD+P6HH6l/XL1djmHhot/o2uMiunc9k+5dz+T1cRO59fZ7OKJObVo0PyXLcxo3akDvG/5F/0ef5JJe59PgxPoANGhwfLb9PP/CEGrVrE7z05pRuFAhPvn0Mx5/4hkWLfqNF58fuMtxz5n7Cy1adSJP3jxc+c+LSUxMZNjw0XTreRFDXnqGzp3apas/8KlBbNi4kSsu70VSUhLPPf8y7Tt2Z8b0N6lZozoAy5av4LSWHdiUlMRFF/SkXNmyfPzJf+nTtx8LFy5iwGP90rX5xqR3WL58Bb0uOo8CBfLz9DMv0PO8S/jft59wWPHi2Y/FswP4z219KF2qFDdcdyUApUuXAmDevAWMn/AmnTqeQfVqVVm3fj2jXxtHt54XMW7MUJqf1gyAH36cQ5eu51Pn8Nrc1PtaChcuxKJFv/HW21NYt24dhQplPQNx0PMv0/vmO7j2X1fQt89tALw/YxbnXXgFTZs05M7bbyJv3rz8Om8+U6ZO3+XviyRJkiQpvpn40k47tu7RPP7IA9zV5wFatu6UWt6mdUtefvHp1KWJK1auIikpibJlSmdqY1vZH38u3q0Yfv75V8a+9iotW5wKwHnnduOIYxow5NUR2Sa+qlWtwmmnNqX/o0/S4MT6dO/WZYf9vD1pDAUL/j2D7eJe51GzZnXuvb8/99x9KxUqlN/O2Zn16duP9Rs28NEHkzniiMMBuPD8njRqejo333oX7du1Tre0c9Fvv/PlZx9Q4rBYQqpjhzM4qXEL7rv/EQa/+BQA9/R9kLXr1vHJ7KmULVsGgF4XnUv58uV49PGnuPqqy6hVs3pqm7/8Mo8vP5uZmrRq2qQhjU9uxZgxE7js0guzjb17ty70ve9hypQplWnsjjqyDt98OZvcuXOnll1x2UU0btaaAU8+m5r4mjZ9Bps2JTF2zFBKlSyRWvf2W2/Mtt/+jw6kT99+3HnbTdzY+5rU8nfenUpi4cJMHDciXb/bEmOSJEmSJG3jUkftkjJlSnPSSSfw8IP3MGLYi/S+4V9Mf38ml/3z2tRlaJs2bgIgISFfpvO37b21rc6uqlqlcmrSK9ZHAiccfxzz5i3Yrfaysy3plZyczKrVq1m2fAWNGjYgiiK++vr/dqmtrVu3MvW99zm95WmpSS+AxMTCXNzrPP74YzFfff1tunO6dz0zNekFUOfwWjQ/rRmTp0wjiiKiKGL8hEm0ankaefLmZdnyFamPFs2bEUURH3zwYbo2O3Rom5r0Aqh7zFEUSUzk1/m7P3YJCQmpyaekpCSWr1jJ2nXradLoJL766pvUekWLFgXgjUlvs3Xr1h22e1efB7jn3gd5qF+fdEmvWFtFWL9hA5OnTE/9mZMkSZIkKSvO+NJOm/TWu1zY60o+nj0ldbldu7atqFKlEv+69ibefHsy7dq2In+BWHIrKWlzpjY2bYolvLbV2VWVKlXIVFasWFG+++773WovO5/+93P69H2QTz79PNO+XqvXrNmltpYtW8769RuoXatGpmN1Dq8NwPz5Czm+/j9Sy2vVzFy3Vq0aTJ4yjeUrVhIlJ7Ny1WpGjHqdEaNez7LfpcvS30ihcjZjt3Llql25nHSiKOLJpwbx0stD+fnnX9MdCyGkft2lc3uGDhvFtdf/h7vufoAmTU6idasWnHVmx0zLHMeNn8Tateu48/ab+eflF2fq85KLL2DCxLfo2uNCSpcuxclNGtG2TUs6dTzDGxVIkiRJktIx8aWd9vQzL1Dn8FqpSa9tOrRvw7+uvYkPP/qUdm1bcVjxYiQkJGS5nPHPxUsAKJeyNG9XpV3altbenPkzb/4C2nXsRrWqVbi/7x1UqlSR/PkT+P2PP7niyuvTbRyfU7bF0KVzBy44v0eWdapWrZzu9b4Yu8cGPM1dfR6gR7cu3HLT9ZQocRi5c+dm6LBRjB4zPrVe/vz5eeuN1/jo4/8yZep0pr8/k6uvuZGH+z/Be5MnUCbNstjj6/+Dn36ay5BXhtOjWxcqVky/rLRUyRLMmvEOM2bOZsp77zN9+kzGjJ3AgCefZfLb49ItUZUkSZIkHdpMfGmn/fHnYvInJGQq37pla8rzFgBy5crFMUcfwRdfZL4L4Weff0lCQkLqTKf9Je3sox156+3JbNy4iddGDqFy5b/vLPnetBm71XfJkiUoVKggP835OdOxH3+aA0CVKpXSlc+Zm7nunDk/UyQxkRKHFSc5OZkiiYls/mszp57SdLfi2hXZjd/rYyfStElDBj07IF35q0NHZtlGo4Yn0qjhidx1x81MnjKNLl3P56WXh3LLzTek1qtUqQKP9r+P1mecRbtO3Xj3zdfTJcYA8uTJQ/PTmqXuIfbCi69wfe9bGTdhEuf0OHtPL1eSJEmSFCfc40s7rVbNGnz/w098/U36Pa5Gjh4LQL1jj0kt69jhDL7/4Uc+mPX3PlNLly1n/Pg3Ob3lqdnexW9fKVgw1t/q1TteppgrV+zXIjn6e2ZXcnIyTz41aLf6zp07Ny1bnMqUqdP54cc5qeXr1q3nxZdepVy5MunGDmJjunzFytTXP/w4h/emzaBli1MJIZA7d246dTqDt96ewudffJWpz7Vr12VaorknChYsmOXY5cqVK9MMuLk//8Ibb76TrizttWxzbN2jgay/JzVrVOeNcSNYtWo17Tp1Z9nyFdttq27do1LaWr0TVyNJkiRJOlQ440s77fprr2TK1Om069CNSy+5gIoVyvPZF18ybPhr1KlTm86d2qXWvaTX+Qx5dQTnnHcp/7r6CooWSWTQi0PYsnULd952036P/fDatShQID/Pv/QK+Qvkp1DBghx//D+oWqVyprotmp9CQkICZ3W7gF4XnkNycsTY8W+wOYs9y3bWnbffzLRpM2l9Rhcuv/RCEhMTGTZ8NPPmL2DIS8+ku6MjQMUK5Wl+egcuPL8nmzdv5tlBgylQID+33do7tc7dd97CrFkf0aptF847pxtHH3UE69av5/sffmLCxDf5ePZUqlSulDGU3VKv3jGMGj2Wh/s/QbVqVShVqiTNTm7MGW1P574HHuHiS6+mSZOGLFz4Gy+8OITatWryzbffpZ7/0MOPM2PmbFq3akHlyhVZv34DQ4eNInfu3HTu1D7LPo844nAmjhtBuw5d6di5B5MmjqJ4sWJcfU1vli5dzinNGlOxYgWWL1/BS4OHUqhQQdq2OX2vXK8kSZIkKT6Y+MoBK1f9kNMh7JaGJ53AjGlv8sCDjzJi5BgWL1lKqVIluOiCc7jj9ptS79gIULhwId6aOJrb7ujLkwOfJWnzZuofV49BzzxOnTr7d5kjQKFCBXnu6ce594H+XHfDLWzZsoVnnno0y8RXzRrVGTX8Jfr0fZC77+lHYmIinTq05eKLzqNB4xa71X+tmtWZ+u547rqnHwOfep7Nf23m6KOPZNTwwbRpnbnNq6+6jIULF/HMcy+yfPlK6h17DA8+cDe1av69v1qpkiWYNnUSD/cfwJtvTWbIqyMoWrQINapX4+Ybr6NMmjs47qk7b7uJpUuX8uiAp1i3bj1NGp9Es5Mb8+/rryYpaTMjR73OhDfepmaNavR/6F7m/vxLusTXGW1PZ9FvvzNy1OssXbacokWLUK/u0Tzy8H00OLF+tv3WPeYoxo4ZSsfOPenc5RwmjhtJ965n8sqrI3n5lRGsXLmKEiWKc+IJ9bm593VZfj8lSZIkSYeusDc3BT8U1KlSJBrUpzX5StXJ8nj+cm2oWT3zH9+Ll3zKli0b+GvLhn0d4g7lzVOQPHkKUqb0iTkdijL4YNaHtG3fleefHUD3bl1yOpxD3txfFrDpj7dzOgxJkiRJilubV80nrJlHl1tnL12yckvpHZ+xa5zxtR/lSUk4SZIkSZIkad8z8bWfOLtKkiRJkiRp//KujpIkSZIkSYpLzviSDiBNmzRi7cpFOR2GJEmSJElxwRlfkiRJkiRJiksmviRJkiRJkhSXTHxJkiRJkiQpLpn4kiRJkiRJUlwy8SVJkiRJkqS4ZOJLkiRJkiRJccnElyRJkiRJkuKSiS9JkiRJkiTFpTw5HcChIveiD3M6hEy2VmyU0yHsFff3e4QHHnyMtSsX7db5icUrcsvN13Prf/69w7qXX3k9s2Z9xHfffLzL/expnEovsXhFzj+vO0890T+nQ5EkSZIkHaBMfO1Pf62HvzbkdBSQtyDkLbTLp61bt54BTz7DF198zedffs3y5SuyTRjNmDmb0WPG8dHH/2XRot8oWaIEJ5xwHLffeiO1albPVH/x4iXcdkdfJk+dzubNm6l/XD3uved2/lGv7m5d4p6Yv2Ahw4aPpkO7Nhx99JH7vf+D3VPPvEDx4sXo2f2snA5FkiRJknSIM/G1P/21gVzrl+R0FCQXKr1bia/lK1bQ76HHKV++LPWOPYb3ps3Itu4dd93HihUr6dChLbVr1eDPPxcz6IUhND75dKa8M55j6x6dWnf9+g207dCVpUuW8q+rLqdIkUQGvTiEMzp0ZfrUSRxeu+Z247qp97XccN1Vu3w92yz9Yy558vz9q7BgwUIeePAxqlerminxNXDAQyQnJ+92X4eCp595gerVq5r4kiRJkiTlOBNfOSC51FE51neupd/t9rlly5Tmp/99RrlyZfntt9+pc/SJ2da9/947adTwRHLl+nsbubPP6sRJjVvw4MOPM/zVF1LLXxz8Kj/9NJc3J47i5KaNATjzzA4cd/zJ9L3vIYYOGbTduPLkyZMucbWr8ufPv9N18+bNu9v9SJIkSZKk/cvN7bXTEhISKFeu7E7VbdL4pHRJL4Aa1atx9FFH8MOPc9KVjxv/BkfUOTw16QVQqmQJOndqxzvvvseGDRu329f9/R4hsXjFdGVH1T2J9p268/kXX9GiVSdKlatBnaNO4MmnMifREotX5P5+jwAwdPho2rbvCsClV1xLYvGKJBavyNDho4HYHl9H1T0p3flDh4+mQ+ce1KxzHIeVrsYx9RpxV58HSEpK2m7c2/P99z/SrWcvKlY5ktLla3Jqy/a8/c7UdHU+mPUhicUrMnzkGB7qP4A6R51AqXI1aNm6M198+XWmNpcsWco1191MrSPqc1jpahx7XGP6Pzow3Qy2+QsWkli8Ig/1H8DwkWM47sRmlChTnQaNmjNt+swdxp1YvCILFi7i/RmzUseuTbvYzK8VK1dy2x19adikJeUr16FMhVo0P71jpusCmPnBbNq2P5vK1Y+mVLkaHHlMAy657F+sX7/9pcLDR46hWMkqXP/vW4miCIAJE9/k1BbtqFD5CMpUqMWxxzXmuhtu2eG1SJIkSZIOfs740n4TRRGLFy+lfPlyqWXJycl8+3/fc/ZZnTLVr1+/HoOHDOP7H36k/nH1drm/hYt+o2uPi+je9Uy6dz2T18dN5Nbb7+GIOrVp0fyULM9p3KgBvW/4F/0ffZJLep1PgxPrA9CgwfHZ9vP8C0OoVbM6zU9rRuFChfjk0894/IlnWLToN158fuAuxz1n7i+0aNWJPHnzcOU/LyYxMZFhw0fTredFDHnpGTp3apeu/sCnBrFh40auuLwXSUlJPPf8y7Tv2J0Z09+kZo3YfmrLlq/gtJYd2JSUxEUX9KRc2bJ8/Ml/6dO3HwsXLmLAY/3StfnGpHdYvnwFvS46jwIF8vP0My/Q87xL+N+3n3BY8eLZj8WzA/jPbX0oXaoUN1x3JQClS5cCYN68BYyf8CadOp5B9WpVWbd+PaNfG0e3nhcxbsxQmp/WDIAffpxDl67nU+fw2tzU+1oKFy7EokW/8dbbU1i3bh2FChXMsu9Bz79M75vv4Np/XUHfPrcB8P6MWZx34RU0bdKQO2+/ibx58/LrvPlMmTp9l78vkiRJkqSDj4kv7TejRo9l4aLfuOZfl6eWrVi5iqSkJMqWKZ2p/rayP/5cvFv9/fzzr4x97VVatjgVgPPO7cYRxzRgyKsjsk18VatahdNObUr/R5+kwYn16d6tyw77eXvSGAoWLJD6+uJe51GzZnXuvb8/99x9KxUqlN+luPv07cf6DRv46IPJHHHE4QBceH5PGjU9nZtvvYv27VqnW9q56Lff+fKzDyhxWCwh1bHDGZzUuAX33f8Ig198CoB7+j7I2nXr+GT2VMqWLQNAr4vOpXz5cjz6+FNcfdVl6W468Msv8/jys5mpSaumTRrS+ORWjBkzgcsuvTDb2Lt360Lf+x6mTJlSmcbuqCPr8M2Xs8mdO3dq2RWXXUTjZq0Z8OSzqYmvadNnsGlTEmPHDKVUyRKpdW+/9cZs++3/6ED69O3HnbfdxI29r0ktf+fdqSQWLszEcSPS9bstMSZJkiRJim8uddR+8f33P3LDjbdx3D+O5ZJe56eWb9q4CYCEhHyZztm299a2OruqapXKqUmvWB8JnHD8ccybt2C32svOtqRXcnIyq1avZtnyFTRq2IAoivjq6//bpba2bt3K1Pfe5/SWp6UmvQASEwtzca/z+OOPxXz19bfpzune9czUpBdAncNr0fy0ZkyeMo0oioiiiPETJtGq5WnkyZuXZctXpD5aNG9GFEV88MGH6drs0KFtatILoO4xR1EkMZFf5+/+2CUkJKQmn5KSkli+YiVr162nSaOT+Oqrb1LrFS1aFIA3Jr3N1q1bd9juXX0e4J57H+Shfn3SJb1ibRVh/YYNTJ4yPXXpoyRJkiTp0OGML+1zixb9zplnn0fRIkUYMfSFdLOV8heIJbeSkjZnOm/Tpk3p6uyqSpUqZCorVqwo3333/W61l51P//s5ffo+yCeffp5pX6/Va9bsUlvLli1n/foN1K5VI9OxOofXBmD+/IUcX/8fqeW1amauW6tWDSZPmcbyFSuJkpNZuWo1I0a9zohRr2fZ79Jly9K9rpzN2K1cuWpXLiedKIp48qlBvPTyUH7++dd0x0IIqV936dyeocNGce31/+Guux+gSZOTaN2qBWed2THTMsdx4yexdu067rz9Zv55+cWZ+rzk4guYMPEtuva4kNKlS3Fyk0a0bdOSTh3P8EYFkiRJknQIMPGlfWrpsuV07NKTjZs28e5bY9Pt7wVwWPFiJCQkZLmc8c/FSwAol7I0b1elXdqW1t6c+TNv/gLadexGtapVuL/vHVSqVJH8+RP4/Y8/ueLK69NtHJ9TtsXQpXMHLji/R5Z1qlatnO71vhi7xwY8zV19HqBHty7cctP1lChxGLlz52bosFGMHjM+tV7+/Pl5643X+Ojj/zJl6nSmvz+Tq6+5kYf7P8F7kydQJs2y2OPr/4OffprLkFeG06NbFypWTL+stFTJEsya8Q4zZs5mynvvM336TMaMncCAJ59l8tvj0i1RlSRJkiTFHxNf2mdWr15D5y7n8McffzJpwigOr10zU51cuXJxzNFH8MUXme9C+NnnX5KQkJA602l/STv7aEfeensyGzdu4rWRQ6hc+e87S743bcZu9V2yZAkKFSrIT3N+znTsx59id8OsUqVSuvI5czPXnTPnZ4okJlLisOIkJydTJDGRzX9t5tRTmu5WXLsiu/F7fexEmjZpyKBnB6Qrf3XoyCzbaNTwRBo1PJG77riZyVOm0aXr+bz08lBuufmG1HqVKlXg0f730fqMs2jXqRvvvvl6usQYQJ48eWh+WrPUPcReePEVru99K+MmTOKcHmfv6eVKkiRJkg5g7vGlfWLDho106Xo+P/40h1HDX+K4fxybbd2OHc7g+x9+5INZf+8ztXTZcsaPf5PTW56a7V389pWCBWP9rV6942WKuXLFfoWSo79ndiUnJ/PkU4N2q+/cuXPTssWpTJk6nR9+nJNavm7del586VXKlStDvWOPSXfOyNFjWb5iZerrH36cw3vTZtCyxamEEMidOzedOp3BW29P4fMvvsrU59q16zIt0dwTBQsWzHLscuXKlWkG3Nyff+GNN99JV5b2WrY5tu7RQNbfk5o1qvPGuBGsWrWadp26s2z5iu22VbfuUSltrd6Jq5EkSZIkHcyc8ZUDci39LqdD2G3PDRrM6jVrWLNmLQCzP/yEh/rHZvB079olddbTxZddzSeffsbZXTry229/MDLD3lJp7/h3Sa/zGfLqCM4571L+dfUVFC2SyKAXh7Bl6xbuvO2m/XRlfzu8di0KFMjP8y+9Qv4C+SlUsCDHH/8PqlapnKlui+ankJCQwFndLqDXheeQnBwxdvwbbM5iz7KddeftNzNt2kxan9GFyy+9kMTERIYNH828+QsY8tIz6fZIA6hYoTzNT+/Ahef3ZPPmzTw7aDAFCuTntlt7p9a5+85bmDXrI1q17cJ553Tj6KOOYN369Xz/w09MmPgmH8+eSpXKlTKGslvq1TuGUaPH8nD/J6hWrQqlSpWk2cmNOaPt6dz3wCNcfOnVNGnSkIULf+OFF4dQu1ZNvvn279+Jhx5+nBkzZ9O6VQsqV67I+vUbGDpsFLlz56Zzp/ZZ9nnEEYczcdwI2nXoSsfOPZg0cRTFixXj6mt6s3Tpck5p1piKFSuwfPkKXho8lEKFCtK2zel75XolSZIkSQcuE1/7U96CJBcqveN6+yGO3fXEwOdYsHBR6uuZH3zIzJQ7AjY86YTUxNc338QSGa+9PoHXXp+QqZ20ia/ChQvx1sTR3HZHX54c+CxJmzdT/7h6DHrmcerU2b/LHAEKFSrIc08/zr0P9Oe6G25hy5YtPPPUo1kmvmrWqM6o4S/Rp++D3H1PPxITE+nUoS0XX3QeDRq32K3+a9WsztR3x3PXPf0Y+NTzbP5rM0cffSSjhg+mTevMbV591WUsXLiIZ557keXLV1Lv2GN48IG7qVWzemqdUiVLMG3qJB7uP4A335rMkFdHULRoEWpUr8bNN15HmTR3cNxTd952E0uXLuXRAU+xbt16mjQ+iWYnN+bf119NUtJmRo56nQlvvE3NGtXo/9C9zP35l3SJrzPans6i335n5KjXWbpsOUWLFqFe3aN55OH7aHBi/Wz7rXvMUYwdM5SOnXvSucs5TBw3ku5dz+SVV0fy8isjWLlyFSVKFOfEE+pzc+/rsvx+SpIkSZLiS9ibG30fCupUKRIN6tOafKXqZHk8f7k21Kye+Q/q3Is+zKJ2ztpasVFOh6A98MGsD2nbvivPPzsgXSJRe8/cXxaw6Y+3czoMSZIkSYpbm1fNJ6yZR5dbZy9dsnLLXp8t5Iyv/cQkkyRJkiRJ0v7l5vaSJEmSJEmKSya+JEmSJEmSFJdc6igdpJo2acTalYt2XFGSJEmSpEOUM74kSZIkSZIUl0x8SZIkSZIkKS6Z+NrboogoinI6Ckl7yN9jSZIkSTr4mfja25KTSNq8JaejkLSHkjZvIdqyPqfDkCRJkiTtARNfe1nSqu/4448/2ZT0lzNGpINMFEVs2bKVNes28vvvf7B59Q85HZIkSZIkaQ94V8e9LNq8hA1LP2PRX0dBrgQIIadDkrTTIkj+i62bV/HXmh9gqzO+JEmSJOlgZuJrH4g2L2HTkiU5HYYkSZIkSdIhzaWOkiRJkiRJiksHZOIrhHBkCOG9EMKGEMLvIYR7Qgi5d+K8oiGEwSGElSGE1SGEYSGEElnU6xhC+DaEsCmE8L8QQrd9cyWSJEmSJEnKKQdc4iuEUByYCkRAR+Ae4N9An504fTRwCnAJcCFwAjA+Q/tNgNeB6UAb4E1gRAjh9L0RvyRJkiRJkg4MB+IeX1cABYAzoyhaA0wJIRQB7g4hPJRSlkkIoSFwOtAsiqKZKWW/AZ+EEFpEUTQ1peodwMwoiq5JeT09hHAUcCcwed9dliRJkiRJkvanA27GF7FZWO9mSHCNJJYMa7aD8xZvS3oBRFH0KfBryjFCCAnAqcRmhqU1EmgYQii65+FLkiRJkiTpQHAgzviqA0xLWxBF0YIQwoaUY29s57wfsij/PuUYQA0gbxb1vieWBKwN/Hd7wSVHsHnjWjb/8b/tVZMkSZIkSdKObNlI2BL2WfMHYuKrOLAqi/KVKcd257zqaeqQRb2VGY6nE0K4DLgMIHcuoovvmrpxO3HEvQ1JybkLJuTamtNx5CTHwDGA/T8Gazcm50kskGvL/upvZ/hz4BiAYwC+H4A/B9s4Do4BxP8Y7Mx7ULyPwc5wDBwDcAxg58dg5dqtxfZF/wdi4uuAE0XRIGAQQAjhs/lL/jo+h0PKUSGEQVG09bKcjiMnOQaOAez/MQghfLZi7dYD6v3HnwPHABwD8P0A/DnYxnFwDCD+x2Bn3oPifQx2hmPgGIBjADs/BiGEz/ZF/wfiHl8rgaz22irO3zOzdve8bc8Z6xXPcFzbl91y00OJY+AYgGMAjgE4BuAYgGMAjsE2joNjAI4BOAbgGIBjAI4B5PAYHIiJrx/4e08uAEIIlYCCZL2HV7bnpUi799fPwF9Z1KsDJAM/7Ua8h5woig75X1zHwDEAxwAcA3AMwDEAxwAcg20cB8cAHANwDMAxAMcAHAPI+TE4EBNfbwOtQgiJacq6ARuBGTs4r2wIocm2ghDC8cT293obIIqiJGA6cHaGc7sBH0VRtHon4hu0E3UkaV/w/UfSNr4fSMpJvgdJ2hf2yXtLiKJoX7S720IIxYH/Af8HPEgscfUo8HgURbenqTcXmBFF0cVpyt4FagG9ic3gehBYEkVR0zR1mgDvAwOB8UDblPqtoyiavC+vTZIkSZIkSfvPATfjK4qilUBzIDexdaB9gMeAuzJUzZNSJ61uxGaFvQS8AnwOdM7Q/izgLKAF8C7QAehp0kuSJEmSJCm+HHAzviRJkiRJkqS94YCb8ZUTQgh3hxCW5XQckg4tKe89URaPqTt5/sv76pa/kvavNO8Hc7I5Pifl+N37OTRJh5gQwq8p7zc1czoWSQenA+1zTZ790YkkKVurgdZZlEk69GwCqoUQjo+iKDWpHUI4AaiaclyS9pkQQkNi7zcAPYC+OReNpIPcAfO5xhlfkpSztkRR9HGGx/c5HZSkHLEemAZ0z1DePaV8/Z52EELIv6dtSIprPYi913yS8vUeCyHkDSFk3JtZUvzb559rdpaJrwxCCIVCCANDCD+GEDakTPV9KoRQJEO9KIRwbQjh/hDC0hDCkpR6CTkVu6T4EkK4JITwXQghKYQwP4RwUzb1OoUQfgghbAohzAohHLm/Y5W014wEuoYQAkDKc9eU8lQhhIYhhIkhhD9CCOtDCF+FEM7JUOfClM8rJ4YQ3g8hbARu3F8XIungkpKc6gpMJHazsCNCCMemOb7tPeWEEMIHIYSNIYSfQgidM7TzfghhTAjhshDCz8RmdZTfn9ci6YCxVz7XhBAOS/lb58IM54UQwi8hhMe2F4SJr8wKErtb5G1AG+AO4DTgtSzq/pvYm/i5wMPA5cC1+ydMSfEihJAnwyOEEG4EngHGA+1Svu4bQrg6w+lVgEeJLUXoCRQF3nVWh3TQGguUAZqkvG4KlEopT6sKMBu4GGgPvA4MDiFkNUNjBLE7ZbcFJu2DmCXFh1OJvf+MBMYAf5H1rK9RwATgTOBb4LW0CbIUjYF/AjcTe49yGwfp0LRXPtdEUbQCGAdcmOG8U4BqxJL12XKPrwyiKFpK7E0aiP1BCvwKzAohVI6iaEGa6vOiKLow5et3QwiNif0D8ND+ilfSQa8EsQ+WaXUE7gLujaKoT0rZlBBCQeD2EMIzURRtTSkvCXSMouhDgBDC58DPxP5ReHZfBy9p74qiaFUI4R1iywA+SHl+J4qi1Sn/WbqtXur/lKb87+lMoCJwKbFEV1pPRFE0YF/HLumg1wNYRew9Z3MIYTLQPYRwSxRFUZp6L0RR1B8ghPAu8D/gFtIvZyoG1IuiaPF+iVzSAWkvf655EZgcQqgeRdEvKWUXAZ9HUfTt9uJwxlcWQgjnhRC+DCGsI/YH6ayUQ7UzVJ2c4fX/iH1zJGlnrQZOyPAIQCFi/4OaOhOM2Fr4MqR/n1myLekFEEXRfOBz4MT9FL+kvW8kcFbK9glnkWE5AEAIoXgI4YkQwnxin1X+Ai4j82cVgDf3ZbCSDn4hhHzE/gN/XBRFm1OKRxKbhdEwQ/Vx276IoiiZ2OyvjJ87PjfpJSnF3vpc8x4wH7gg5ZxEoAsweEcBmPjKIGWN+ivAR8DZwEnAtnXrGZcOrcrwenMWdSRpe7ZEUfRZ2gdQOOXYd/z9xv8XMD2lvFKa85dk0eYSoNy+CljSPjeR2PvAfcSS4G9kUedloBuxrRZOJ5Y0f4msP4f4x6ekHWlDbJbWWyGEYiGEYsD7QBKZlztm/OyR1ecO33ckbbNXPtekzDwdDFyQZq+w3MDwHQXgUsfMzgY+iaLoym0FIYRmORiPpEPPipTndmT9wfHHNF+XzuJ4aWJJM0kHoSiK1ocQJgHXA69FUZTurkcpe/i1A66KoujZNOXZ/YdmlE25JG2zLbmV1b7GZ4cQrkvzujSwPMPrPzKc4/uOJGCvf64ZTGxLmFOJbe0yPoqilTuKwcRXZgWI/c9GWudkVVGS9pGPgI1A+SiKdrREqXQIoVGaPb4qA8exE1N+JR3QngESyHqvvgRis/ZTP6+kTPfvgH9sStpFIYRCxDaTHgEMynD4H8RuonNamrLOwPcp5+Yitjfpp/s+UkkHsb3yuSaKooUp+w/2IbZhfuud6dzE19+2DegU4KkQwm3AJ8TugNQ8x6KSdMhJ2QTybmBACKEKsc0dcxFb435qFEVpbxu+DBgaQridWLKsD7ElBy/v16Al7VVRFL1PbJlRVsdWhxD+C9wZQlgDJAP/IbZnYJH9FaOkuNGR2J3tB0RR9EnaAyGE2cTudt+D2OcRgEtCCJuB/wMuAWqS9d0fJQnY659rXiQ2O3URsfzNDrnHV0wBYvtzATwHPAJcS+wWm1WAnjkUl6RDVBRFDxHb0LENsU1jRxCbffpBhqrzgd7A3cQ2ilwLtIqiaNN+C1ZSTugJ/EJsX9IBxG77/UqORiTpYNUDmJMx6QUQRdFfwGhiG98npBR3JzbrazxwLNAtiqIv90+okuLUrnyumQRsAYak3GBjh0L6O9MemkIIY4AKURRlvGOJJEmSJB3yQggXEttKITGKonU5HI6kQ1QIoS2x5FftKIrm7sw5h/RSxxDCUcQ2RWtHbIM0SZIkSZIkHUBCCOWBWkA/4K2dTXqBSx0HAjcRm0r3aA7HIkmSJEmSpMwuA94DNgH/2pUTXeooSZIkSZKkuHSoz/iSJEmSJElSnDpkEl8hhLNDCBNDCL+FENaFED4PIWS67W4I4dIQwpwQwqaUOs0zHC8VQngihPBpCGFzCGFeNv0VCSE8HkKYF0LYEEL4PoRwXQgh7KNLlCRJkiRJUhqHTOILuAFYB1wPdACmA8NDCKlrQ1MSYc8Su21mG+A7YFII4eg07VQAugF/Al9tp7+XgXOB+4ltnj+G2D5i1+2Ni5EkSZIkSdL2HTJ7fIUQSkZRtCxD2XCgYRRF1VJe/wjMjqKoV8rrXMDXwNdRFJ27rSyKouSUr/sDZ0VRVDVDuwWBtcB1URQ9maZ8LFAhiqIG++gyJUmSJEmSlOKQmfGVMemV4kugPEAIoTpQGxid5pxk4DVis7/Slu1IbmJjuzpD+SrApY6SJEmSJEn7wSGT+MpGQ+CnlK/rpDz/kKHO98BhIYRSO9toFEVriSXQbgoh1AshJIYQ2gFdgaf2MGZJkiRJkiTthDw5HUBOSdm0vhPQK6WoeMrzqgxVV6Y5vnQXujgfGEZsVhlABNwSRdGQXY1VkiRJkiRJu+6QTHyFEKoCw4EJURS9vI+6eQxoAFwE/AI0Ae4OISyLoujFfdSnJEmSJEmSUhxyia8QwmHA28B84Jw0h7bN7CpK+llfxTMc35k+6gL/BE6PomhKSvHMEEIi0D+EMHgn9wqTJEmSJEnSbjqk9vhKudviJCAf0C6Kog1pDm/b26tOhtPqACuiKNqVZY7b2vgqQ/mXQDGgxC60JUmSJEmSpN1wyCS+Qgh5iN2hsRbQOoqiJWmPR1H0C7GN7s9Oc06ulNdv72J381Oej8tQXh9YD2R1h0lJkiRJkiTtRYfSUsengbbAtUCJEELaWVdfRlGUBNwNDA0hzANmAxcQS5T1TNtQCOGslC9rAwXTvJ6RMjPss5THSyGEO4Ffie3xdR0wIIqiaK9fnSRJkiRJktIJh0oOJiWZVSWbw9WiKJqXUu9S4GagEvAdcGMURe9laCu7QTs1iqL3U+qUBe4FWgKliM0CewV4JIqizXtyLZIkSZIkSdqxQybxJUmSJEmSpEPLIbPHlyRJkiRJkg4tJr4kSZIkSZIUl0x8SZIkSZIkKS6Z+JIkSZIkSVJcMvElSZIkSZKkuGTiS5IkSZIkSXHJxJckSdIBLoQQpTxOyelYJEmSDiYmviRJkvahNEmr3XlcmNPxS5IkHczy5HQAkiRJcW5xNuWFgUI7qLMx5fnHlOcNeysoSZKkQ0GIoiinY5AkSTrkhBDuBu4CiKIo5Gw0kiRJ8cmljpIkSZIkSYpLJr4kSZIOcNltbh9CqJrmWNUQQpUQwvMhhAUhhE0hhJ9DCPeGEAqlOefoEMLQEMLClDpzQgi3hxDy7iCGqiGEx0MI34UQ1oUQNoQQfgghDAghVN43Vy5JkrRn3ONLkiQpPhwHvAgUA9YQ+5xXHbgNODmE0Bw4HRgNFARWA/mAmkBf4Gige1YNhxDOSWk7IaUoCUgGDk95XBRCOCuKosn74sIkSZJ2lzO+JEmS4sOLwOfAUVEUFQUSgWuArUBT4E5gGPAGUDWKomJAEeC+lPO7hRBaZGw0hNASeAXIDTwEVAMKENuYvw7wWkpfrznzS5IkHWhMfEmSJMWH34Azoij6H0AURRujKHoSGJ5y/HbgU6BHFEXzU+qsi6LoduCDlDrpZnyFEHIBTxH7zHhVFEU3R1E0L/rbj1EUdQUmEkui3bCPr1GSJGmXmPiSJEmKD49FUZSURfm7ab7uF2V9S+9tdepmKD8ZqAUsA17YTt+vpDy32plAJUmS9hf3+JIkSYoPn2ZTvjjN1//dQZ3iGcobpzwXBX4PIWTXd76U5yrbC1CSJGl/M/ElSZIUH9ZmU75l2xdRFO2oTsY7O5ZPU15mJ2IosBN1JEmS9huXOkqSJCk7uVOeP4miKOzMI0ejlSRJysDElyRJkrLzZ8qzSxglSdJBycSXJEmSsjM75blsCOH4HI1EkiRpN5j4kiRJUnamA3NTvn4shJBve5VDCIft+5AkSZJ2nokvSZIkZSmKoi3AFcQ2v28CzAwhNA8hpG6CH0KoHkK4IoTwX+DKHApVkiQpS97VUZIkSdmKoui9EMLZwCtAA2Aq8FcIYQ1QGEhIU338/o9QkiQpeya+JEmStF1RFI0PIdQkNqOrDVALKAasB34A/gu8CbyVUzFKkiRlJURRlNMxSJIkSZIkSXude3xJkiRJkiQpLpn4kiRJkiRJUlwy8SVJkiRJkqS4ZOJLkiRJkiRJccnElyRJkiRJkuKSiS9JkiRJkiTFJRNfkiRJkiRJiksmviRJkiRJkhSXTHxJkiRJkiQpLpn4kiRJkiRJUlwy8SVJkiRJkqS49P+xRq7CtBkdTgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bptk.plot_scenarios(\n",
    "    scenario_managers=[\"smSimpleProjectManagement\"],\n",
    "    scenarios=\"scenario80,scenario100,scenario120\",\n",
    "    equations=\"productivity\",\n",
    "    title=\"One Equation with Multiple Scenarios\",\n",
    "     freq=\"D\",\n",
    "    start_date=\"1/1/2018\",\n",
    "    x_label=\"Time\",\n",
    "    y_label=\"Producitivty %\",\n",
    "    series_names={\n",
    "        \"smSimpleProjectManagement_scenario80_productivity\":\"80 initial open tasks\",\n",
    "        \"smSimpleProjectManagement_scenario100_productivity\":\"100 initial open tasks\",\n",
    "        \"smSimpleProjectManagement_scenario120_productivity\":\"120 initial open tasks\"\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### What if I want another kind of graph?\n",
    "\n",
    "The default output format for our plots shows each plot with a shaded area. This can easly be changed using the``kind`` parameter. Currently we also support the `line` and `stacked` setting.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bptk.plot_scenarios(\n",
    "    scenario_managers=[\"smSimpleProjectManagement\"],\n",
    "    scenarios=\"scenario80,scenario100,scenario120\",\n",
    "    equations=\"openTasks\",\n",
    "    kind=\"line\",\n",
    "    title=\"One Equation for Multiple Scenarios\",\n",
    "     freq=\"D\",\n",
    "    start_date=\"1/1/2018\",\n",
    "    x_label=\"Time\",\n",
    "    y_label=\"Tasks\",\n",
    "    series_names={\n",
    "        \"smSimpleProjectManagement_scenario80_openTasks\":\"80 initial open tasks\",\n",
    "        \"smSimpleProjectManagement_scenario100_openTasks\":\"100 initial open tasks\",\n",
    "        \"smSimpleProjectManagement_scenario120_openTasks\":\"120 initial open tasks\"}\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### What if I need the underlying data?\n",
    "\n",
    "Sometimes you may not be interested in plotting a graph but would rather use the underlying data directly. This is easy – you can use use the `return_df=True` setting to return a dataframe containing all of the data in the scenario. The dataframe is provided as a [Pandas](http://pandas.pydata.org/) dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=bptk.plot_scenarios(\n",
    "        scenario_managers=[\"smSimpleProjectManagement\"],\n",
    "        scenarios=[\"scenario80\"],\n",
    "         freq=\"D\",\n",
    "        start_date=\"1/1/2018\",\n",
    "        equations=[\"openTasks\",\"closedTasks\",\"completionRate\",\"remainingTime\",\"schedulePressure\",\"productivity\"],\n",
    "        return_df=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataframe is a table with a row for each day and a column for each of the scenarios. Using the `pandas.DataFrame.head` function we can show the first five rows of the dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>openTasks</th>\n",
       "      <th>closedTasks</th>\n",
       "      <th>completionRate</th>\n",
       "      <th>remainingTime</th>\n",
       "      <th>schedulePressure</th>\n",
       "      <th>productivity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>80.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.675200</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.675200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-02</th>\n",
       "      <td>79.324800</td>\n",
       "      <td>0.675200</td>\n",
       "      <td>0.677247</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.801261</td>\n",
       "      <td>0.677247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-03</th>\n",
       "      <td>78.647553</td>\n",
       "      <td>1.352447</td>\n",
       "      <td>0.679302</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0.802526</td>\n",
       "      <td>0.679302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-04</th>\n",
       "      <td>77.968250</td>\n",
       "      <td>2.031750</td>\n",
       "      <td>0.681365</td>\n",
       "      <td>97.0</td>\n",
       "      <td>0.803796</td>\n",
       "      <td>0.681365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-05</th>\n",
       "      <td>77.286885</td>\n",
       "      <td>2.713115</td>\n",
       "      <td>0.683436</td>\n",
       "      <td>96.0</td>\n",
       "      <td>0.805072</td>\n",
       "      <td>0.683436</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            openTasks  closedTasks  completionRate  remainingTime  \\\n",
       "2018-01-01  80.000000     0.000000        0.675200          100.0   \n",
       "2018-01-02  79.324800     0.675200        0.677247           99.0   \n",
       "2018-01-03  78.647553     1.352447        0.679302           98.0   \n",
       "2018-01-04  77.968250     2.031750        0.681365           97.0   \n",
       "2018-01-05  77.286885     2.713115        0.683436           96.0   \n",
       "\n",
       "            schedulePressure  productivity  \n",
       "2018-01-01          0.800000      0.675200  \n",
       "2018-01-02          0.801261      0.677247  \n",
       "2018-01-03          0.802526      0.679302  \n",
       "2018-01-04          0.803796      0.681365  \n",
       "2018-01-05          0.805072      0.683436  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once you have the dataframe, you can use the full power of `Python` and the `pandas` library to access the data, e.g. the `iloc`indexer to access a particular row."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "openTasks           77.286885\n",
       "closedTasks          2.713115\n",
       "completionRate       0.683436\n",
       "remainingTime       96.000000\n",
       "schedulePressure     0.805072\n",
       "productivity         0.683436\n",
       "Name: 2018-01-05 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.iloc[4]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Accessing The Underlying System Dynamics Model\n",
    "\n",
    "The underlying System Dynamics model is automatically converted from the XMILE format into Python code – currently our transpiler only supports conversion of models in XMILE format, but we are planning to create a compiler for models in other formats.\n",
    "\n",
    "We keep both the Stella/XMILE models and the compiled models in the `/MODELS` directory.\n",
    "\n",
    "The actual equations underlying the simulation are stored in a dictonary of Python lambda functions within the class, e.g. here are the equations for closed tasks, open tasks and the completion rate:\n",
    "\n",
    "```\n",
    "\n",
    "'closedTasks': lambda t : 0 if  t  <=  self.starttime  else self.memoize('closedTasks',t-self.dt)\n",
    "            +  self.dt  * ( self.memoize('completionRate',t-self.dt) ),\n",
    "\n",
    "'openTasks': lambda t : self.memoize('initialOpenTasks', t) if  t  <=  self.starttime  else\n",
    "                self.memoize('openTasks',t-self.dt) +  \n",
    "                self.dt  * ( -1 * ( self.memoize('completionRate',t-self.dt) ) ),\n",
    "\n",
    "'staff': lambda t : self.memoize('initialStaff', t) if  t  <=  self.starttime\n",
    "        else self.memoize('staff',t-self.dt)\n",
    "        +  self.dt  * 0, \n",
    "\n",
    "'completionRate': lambda t : max( 0, min( self.memoize('openTasks', t), self.memoize('staff', t) * \n",
    "                self.memoize('productivity', t) / self.memoize('effortPerTask', t) ) ),\n",
    "  \n",
    "```\n",
    "\n",
    "Because of the recursive nature of System Dynamics equations we use memoization to remember previous values – this makes the equations more cumbersome to read (and write should you want to create your own), but it dramatically speeds up calculations.\n",
    "\n",
    "You can easily access (and change) these lambda functions if you want to, they are stored in a dictionary within the model, which itself is associated with the scenario. Assocating the model with the scenario is essential because it ensure that the scenario settings are automatically applied to the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'closedTasks': <function simulation_models.sd_simple_project.simulation_model.__init__.<locals>.<lambda>(t)>,\n",
       " 'openTasks': <function simulation_models.sd_simple_project.simulation_model.__init__.<locals>.<lambda>(t)>,\n",
       " 'staff': <function simulation_models.sd_simple_project.simulation_model.__init__.<locals>.<lambda>(t)>,\n",
       " 'completionRate': <function simulation_models.sd_simple_project.simulation_model.__init__.<locals>.<lambda>(t)>,\n",
       " 'currentDate': <function simulation_models.sd_simple_project.simulation_model.__init__.<locals>.<lambda>(t)>,\n",
       " 'deadline': <function BPTK_Py.xmile_wrapper.xmile_wrapper.XmileWrapper.change_equation.<locals>.<lambda>(t)>,\n",
       " 'effortPerTask': <function BPTK_Py.xmile_wrapper.xmile_wrapper.XmileWrapper.change_equation.<locals>.<lambda>(t)>,\n",
       " 'initialOpenTasks': <function BPTK_Py.xmile_wrapper.xmile_wrapper.XmileWrapper.change_equation.<locals>.<lambda>(t)>,\n",
       " 'initialStaff': <function BPTK_Py.xmile_wrapper.xmile_wrapper.XmileWrapper.change_equation.<locals>.<lambda>(t)>,\n",
       " 'remainingTime': <function simulation_models.sd_simple_project.simulation_model.__init__.<locals>.<lambda>(t)>,\n",
       " 'schedulePressure': <function simulation_models.sd_simple_project.simulation_model.__init__.<locals>.<lambda>(t)>,\n",
       " 'productivity': <function simulation_models.sd_simple_project.simulation_model.__init__.<locals>.<lambda>(t)>}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"scenario80\").model.equations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can run these equations and access individual values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"scenario100\").model.equations[\"closedTasks\"](10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want to build complete models directly in Python, we recommend using the domain-specific language for SD, which we created especially for this purpose. This DSL is also part of BPTK_PY, you can read more about it in the [BPTK_PY_SD_DSL](bptk_py_sd_dsl_intro.ipynb) notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Accessing Model Information"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Having the model in a python class is useful for other purposes too â€“ for instance you can access the list of stocks, flows and converters to check which elements are in your model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['closedTasks', 'openTasks', 'staff']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bptk.scenario_manager_factory.get_scenarios()[\"smSimpleProjectManagement_scenario100\"].model.stocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bptk.scenario_manager_factory.get_scenarios()[\"smSimpleProjectManagement_scenario100\"].model.constants"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of course we can then use the power of Jupyter to pretty print this using HTML:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ul><li>closedTasks</li><li>openTasks</li><li>staff</li></ul>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from functools import reduce\n",
    "from IPython.display import HTML\n",
    "HTML(\"<ul><li>\"+\n",
    "     reduce(lambda x, y: x+\"</li><li>\"+y, bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"scenario100\").model.stocks)\n",
    "     +\"</li></ul>\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also easily output the settings for the constants in the model (for any of the defined scenarios)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "for constant in bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"scenario100\").model.constants:\n",
    "    print (constant+\": \"+str(bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"scenario100\").model.equations[constant](0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "for constant in bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"scenario80\").model.constants:\n",
    "    print (constant+\": \"+str(bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"scenario80\").model.equations[constant](0)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also easily compare two different versions of a model to each other - for instance let's assume we have two versions of our project management model, which say contain different settings for the graphical function we use to model the effect of schedule pressure on productivity and also the number of inital open tasks (as defined in the underlying model, not in the scenarios).\n",
    "\n",
    "Let's compare the results between the models:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bptk.plot_scenarios(scenario_managers=\"smSimpleProjectManagement,smSimpleProjectManagementV0\",\n",
    "    scenarios=\"scenario80\",\n",
    "    equations='openTasks',\n",
    "    title=\"Compare Two Models\",\n",
    "    series_names={\"smSimpleProjectManagement_scenario80_openTasks\":\"Current Model\",\"smSimpleProjectManagementV0_scenario80_openTasks\":\"Model v0\"}\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also create some code that automatically lists all of the model elements that have changed between the two models:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "for constant in bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"base\").model.constants:\n",
    "    if constant in bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagementV0\",\"base\").model.equations:\n",
    "        if bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"base\").model.equations[constant](1)!=bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagementV0\",\"base\").model.equations[constant](1):\n",
    "            print (constant+\" , Current Model:\"+str(bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagement\",\"base\").model.equations[constant](1))+\" , Model v0: \"+str(bptk.scenario_manager_factory.get_scenario(\"smSimpleProjectManagementV0\",\"base\").model.equations[constant](1)))\n",
    "        else:\n",
    "            print(constant+ \" has same value in both models\")\n",
    "    else:\n",
    "        print (constant +\" missing in Model v0\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that this last function isn't part of the BPTK framework, but it uses a number of methods provided by the framework this shows the real power of making models computable: because you can manipulate models using code, you can easily create your own functions to use your models in any way you want."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This post detailed our approach to building interactive stories based on simulation models using Jupyter, Python and the BPTK_PY framewor. Here are the important points you should remember:\n",
    "\n",
    "* If you want to use the insights gained from simulation models to have an impact in the real world, just having the model and the insights is often not enough – you need to develop a good story that persuades your stakeholders to make decisions and take action.\n",
    "* Jupyter and Python provide a great environment for rapidly building such interactive stories that rely on data and on simulations. Using the BPTK_PY framework, creating such documents is actually quite easy. You can concentrate on the story and let the framework do the heavy lifting.\n",
    "* Building complex simulations using System Dynamics is best done using visual modeling environments such as Stella. Thanks to the XMILE standard and our BPTK PY framework, we can import System Dynamics models created with Stella straight into Jupyter and run them there.\n",
    "* Once you have finished the interactive story you can publish it to a wide audience by sharing the Jupyter notebook - this is made particularly easy because Jupyter, Python and BPTK_PY are free.\n",
    "\n",
    "To see interactive stories and games written using this approach, take a look at our blog posts on [Prototyping Business Models and Market Strategies](https://www.transentis.com/current-topics/prototyping-business-models-market-strategies/), on [Growth Strategies in Professional Service Firms](https://www.transentis.com/industries/transforming-professional-services/) or the [Beergame](https://www.transentis.com/understanding-the-beer-game/)."
   ]
  }
 ],
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